索引 (LIRE API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

A

AbstractAggregator - net.semanticmetadata.lire.aggregators中的类: This class implements the clusterForFeature method for both BOVW and VLAD Created by Nektarios on 03/06/2015.
AbstractAggregator() - 类的构造器net.semanticmetadata.lire.aggregators.AbstractAggregator
AbstractImageSearcher - net.semanticmetadata.lire.searchers中的类: Abstract ImageSearcher, which uses javax.imageio.ImageIO to create a BufferedImage from an InputStream.
AbstractImageSearcher() - 类的构造器net.semanticmetadata.lire.searchers.AbstractImageSearcher
AbstractLocalDocumentBuilder - net.semanticmetadata.lire.builders中的类: This class is used by the LocalDocumentBuilder and the SimpleDocumentBuilder to create Lucene Documents for Local Features.
AbstractLocalDocumentBuilder() - 类的构造器net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder
addAndGet(double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
addExtractor(Class<? extends GlobalFeature>) - 类中的方法net.semanticmetadata.lire.builders.GlobalDocumentBuilder: Can be used to add global extractors.
addExtractor(ExtractorItem) - 类中的方法net.semanticmetadata.lire.builders.GlobalDocumentBuilder: Can be used to add global extractors.
addExtractor(Class<? extends LocalFeatureExtractor>, Cluster[]) - 类中的方法net.semanticmetadata.lire.builders.LocalDocumentBuilder: Can be used to add local extractors.
addExtractor(ExtractorItem, Cluster[]) - 类中的方法net.semanticmetadata.lire.builders.LocalDocumentBuilder: Can be used to add local extractors.
addExtractor(Class<? extends LocalFeatureExtractor>, LinkedList<Cluster[]>) - 类中的方法net.semanticmetadata.lire.builders.LocalDocumentBuilder: Can be used to add local extractors.
addExtractor(ExtractorItem, LinkedList<Cluster[]>) - 类中的方法net.semanticmetadata.lire.builders.LocalDocumentBuilder: Can be used to add local extractors.
addExtractor(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Cluster[]) - 类中的方法net.semanticmetadata.lire.builders.SimpleDocumentBuilder: Can be used to add a global extractor with a SimpleExtractor.KeypointDetector.
addExtractor(ExtractorItem, Cluster[]) - 类中的方法net.semanticmetadata.lire.builders.SimpleDocumentBuilder: Can be used to add a global extractor with a SimpleExtractor.KeypointDetector.
addExtractor(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, LinkedList<Cluster[]>) - 类中的方法net.semanticmetadata.lire.builders.SimpleDocumentBuilder: Can be used to add a global extractor with a SimpleExtractor.KeypointDetector.
addExtractor(ExtractorItem, LinkedList<Cluster[]>) - 类中的方法net.semanticmetadata.lire.builders.SimpleDocumentBuilder: Can be used to add a global extractor with a SimpleExtractor.KeypointDetector.
addExtractor(Class<? extends Extractor>) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
addExtractor(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
addExtractor(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, int) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
addExtractor(Class<? extends LocalFeatureExtractor>, Cluster[]) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
addExtractor(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Cluster[]) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
addExtractor(Class<? extends LocalFeatureExtractor>, LinkedList<Cluster[]>) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
addExtractor(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, LinkedList<Cluster[]>) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
addFeature(double[]) - 类中的方法net.semanticmetadata.lire.classifiers.KMeans
addFeature(GlobalFeature) - 类中的方法net.semanticmetadata.lire.indexers.tools.Extractor: Adds a feature to the extractor chain.
addFeature(GlobalFeature) - 类中的方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor: Adds a feature to the extractor chain.
addInputFile(File) - 类中的方法net.semanticmetadata.lire.indexers.tools.Indexor
addInputFile(File) - 类中的方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
addToDocument(GlobalFeature, Document, String) - 类中的方法net.semanticmetadata.lire.indexers.tools.HashingIndexor
addToDocument(GlobalFeature, Document, String) - 类中的方法net.semanticmetadata.lire.indexers.tools.Indexor: Overwrite this method if you want to filter the input, apply hashing, etc.
addToDocument(GlobalFeature, Document, String) - 类中的方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor: Overwrite this method if you want to filter the input, apply hashing, etc.
Aggregator - net.semanticmetadata.lire.aggregators中的接口: This class provides the interface for Aggregators, classes that produce vector representations for local features.
aggregator - 类中的变量net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder
Apply(double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.cedd.CEDDQuant
Apply(double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.cedd.CompactCEDDQuant
Apply(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
Apply(double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.fcth.FCTHQuant
apply(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: apply the model to a point location
apply(Model) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Point: apply a model to the point
transfers the local coordinates to new world coordinates
apply(Model) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch: apply a model to p1, update distance
apply(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
apply(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
apply(IndexedIntArray, IndexedIntArray) - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.FastBilateralFilter
ApplyFilter(double, double, double, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
ApplyFilter(double, double, double, double[], int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
ApplyFilter(int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.cedd.RGB2HSV
ApplyFilter(double, double, double, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
ApplyFilter(double, double, double, double[], int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
ApplyFilter(double, double, double, double[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
ApplyFilter(int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.fcth.RGB2HSV
applyInPlace(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: apply the model to a point location
applyInPlace(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
applyInPlace(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
applyInverse(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: apply the inverse of the model to a point location
applyInverse(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
applyInverse(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
applyInverseInPlace(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: apply the inverse of the model to a point location
applyInverseInPlace(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
applyInverseInPlace(float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
Area1 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Neighborhood
Area2 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Neighborhood
Area3 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Neighborhood
Area4 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Neighborhood
array - 类中的变量net.semanticmetadata.lire.imageanalysis.filters.IndexedIntArray
arrayCosin - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
arrayToString(int[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a String from an array.
arrayZigZag - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
assignMember(double[]) - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
AtomicDouble - net.semanticmetadata.lire.classifiers中的类
AtomicDouble(double) - 类的构造器net.semanticmetadata.lire.classifiers.AtomicDouble
AtomicDouble() - 类的构造器net.semanticmetadata.lire.classifiers.AtomicDouble
AutoColorCorrelogram - net.semanticmetadata.lire.imageanalysis.features.global中的类: Feature for the AutoCorrelogram based on color as described in Huang, J.; Kumar, S.
AutoColorCorrelogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
AutoColorCorrelogram(int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram: Creates a new AutoColorCorrelogram, where the distance k is limited to a maximum of maxDistance (see publication mentioned above)
AutoColorCorrelogram(int, AutoColorCorrelogram.Mode) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram: Creates a new AutoColorCorrelogram using a maximum L_inf pixel distance for analysis and given mode
AutoColorCorrelogram(int[]) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram: Creates a new AutoColorCorrelogram, where the distance k is in distance set
AutoColorCorrelogram(int[], IAutoCorrelogramFeatureExtractor) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram: Creates a new AutoCorrelogram with specified algorithm of extraction and distance set
AutoColorCorrelogram(IAutoCorrelogramFeatureExtractor) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram: Creates a new AutoCorrelogram with specified algorithm of extraction Uses distance set {1,2,3,4} which is chosen to be compatible with legacy code
AutoColorCorrelogram(int, int[], IAutoCorrelogramFeatureExtractor) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram: Creates a new AutoColorCorrelogram using a maximum L_inf pixel distance for analysis and given mode
AutoColorCorrelogram.ExtractionMethod - net.semanticmetadata.lire.imageanalysis.features.global中的枚举: Defines which algorithm to use to extract the features vector
AutoColorCorrelogram.Mode - net.semanticmetadata.lire.imageanalysis.features.global中的枚举: Defines the available analysis modes: Superfast uses the approach described in the paper, Quarterneighbourhood investigates the pixels in down and to the right of the respective pixel and FullNeighbourhood investigates the whole lot of pixels within maximumDistance of the respective pixel.
availableCoeffNumbers - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
averageOverNeighborhoods(int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura: 1.

B

betterThan(Model) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: less than operater to make the models comparable, returns false for error < 0
BIN_COUNT - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation
BinaryPatternsPyramid - net.semanticmetadata.lire.imageanalysis.features.global中的类: This class is built the same way as PHOG, but instead of measuring the orientation of gradients, this class uses a histogram of rotation-invariant local binary patterns.
BinaryPatternsPyramid() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
binColors - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
binLength - 类中的静态变量net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing
bins - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.PHOG
BitSampling - net.semanticmetadata.lire.indexers.hashing中的类: Provides a simple way to hashing.
BitSampling() - 类的构造器net.semanticmetadata.lire.indexers.hashing.BitSampling
BitSamplingImageSearcher - net.semanticmetadata.lire.searchers中的类: This class allows for searching based on BitSampling HashingMode.
BitSamplingImageSearcher(int, String, String, GlobalFeature) - 类的构造器net.semanticmetadata.lire.searchers.BitSamplingImageSearcher: Creates a new searcher for BitSampling based hashes.
BitSamplingImageSearcher(int, GlobalFeature) - 类的构造器net.semanticmetadata.lire.searchers.BitSamplingImageSearcher: Creates a new searcher for BitSampling based hashes.
BitSamplingImageSearcher(int, GlobalFeature, boolean) - 类的构造器net.semanticmetadata.lire.searchers.BitSamplingImageSearcher: Creates a new searcher for BitSampling based hashes.
BitSamplingImageSearcher(int, GlobalFeature, int) - 类的构造器net.semanticmetadata.lire.searchers.BitSamplingImageSearcher: Creates a new searcher for BitSampling based hashes.
BitSamplingImageSearcher(int, String, String, GlobalFeature, int) - 类的构造器net.semanticmetadata.lire.searchers.BitSamplingImageSearcher
BitSamplingImageSearcher(int, String, String, GlobalFeature, InputStream) - 类的构造器net.semanticmetadata.lire.searchers.BitSamplingImageSearcher
BitSamplingImageSearcher(int, String, String, GlobalFeature, InputStream, int) - 类的构造器net.semanticmetadata.lire.searchers.BitSamplingImageSearcher
BLOCK_SIZE - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
BOVW - net.semanticmetadata.lire.aggregators中的类: General class creating histograms based on BOVW model, given the list of local features and the codebook.
BOVW() - 类的构造器net.semanticmetadata.lire.aggregators.BOVW
browseUri(String) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Opens a browser windows th
build() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: build the scale octave
buildStub() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: build only the gaussian image with 2 * INITIAL_SIGMA
Use this method for the partial creation of an octaved scale space without creating each scale octave.

C

cachedInstance - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
cachedInstance - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
cachedInstance - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
cachedInstance - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
calculateDeltaH(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
calculateDeltaV(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
calculateDistance(int[], int[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: Calculates the distance between two images taking the edge edgeHistogram into account. take 480 as soft upper border, 0 is hard lower border because there are 80 bins <= 7.
calculateMy() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
calculateSigma(double) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
CannyEdgeDetector - net.semanticmetadata.lire.imageanalysis.filters中的类: This class is a simple implementation of a Canny Edge Detector.
CannyEdgeDetector(BufferedImage, double, double) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.CannyEdgeDetector: Create a Canny Edge Detector for the given image.
CannyEdgeDetector(BufferedImage) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.CannyEdgeDetector: Create a Canny Edge Detector for the given image.
castToDoubleArray(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a double array from a byte array.
CbCoeff - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
CEDD - net.semanticmetadata.lire.imageanalysis.features.global中的类: The CEDD feature was created, implemented and provided by Savvas A.
CEDD(double, double, double, double, boolean) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.CEDD
CEDD() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.CEDD
CEDDQuant - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
CEDDQuant() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.CEDDQuant
chisquare(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Chi^2 statistics.
clear() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: clear the scale octave to save memory
clone() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray
clone() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
clone() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: clone
clone() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
clone() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
clone() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
closeReader(IndexReader) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
closeWriter(IndexWriter) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
Cluster - net.semanticmetadata.lire.classifiers中的类: Provides a simple implementation for a cluster used with the visual bag of words approach.
Cluster() - 类的构造器net.semanticmetadata.lire.classifiers.Cluster
Cluster(double[]) - 类的构造器net.semanticmetadata.lire.classifiers.Cluster
clusterForFeature(double[], Cluster[]) - 类中的方法net.semanticmetadata.lire.aggregators.AbstractAggregator: Returns the index of the cluster with the min distance between a feature and a codebook.
clusteringStep() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans: Do one step and return the overall stress (squared error).
clusterPixels(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.cv.PixelClustering
clusters - 类中的变量net.semanticmetadata.lire.classifiers.KMeans
coarseness(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
codebookName - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
codebookName - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
ColorConversion - net.semanticmetadata.lire.imageanalysis.utils中的类: This class provides some basic routines for color space conversion on a pixel basis.
ColorConversion() - 类的构造器net.semanticmetadata.lire.imageanalysis.utils.ColorConversion
ColorLayout - net.semanticmetadata.lire.imageanalysis.features.global中的类: Just a wrapper for the use of LireFeature.
ColorLayout() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout
colorLayoutImage - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
ColorLayoutImpl - net.semanticmetadata.lire.imageanalysis.features.global.mpeg7中的类: Class for extrcating & comparing MPEG-7 based CBIR descriptor ColorLayout
ColorLayoutImpl() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
ColorLayoutImpl(BufferedImage) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl: Create a ColorLayout Object from the given BufferedImage. 6 Y and 3 C Coefficients are used, if you want to use another number you have to set it with the Setters.
ColorLayoutImpl(int, int, BufferedImage) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl: Create a ColorLayout Object from the given BufferedImage with the desired number of Coefficients
commitWriter(IndexWriter) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
Compact - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.FCTH
CompactCEDDQuant - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
CompactCEDDQuant() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.CompactCEDDQuant
compare(JpegCoefficientHistogram.DctPoint, JpegCoefficientHistogram.DctPoint) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram.DctComparator
compareAndSet(double, double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
compareTo(Object) - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
compareTo(ShapeContextExtractor.Point) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Point
compareTo(SiftFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature: comparator for making Features sortable please note, that the comparator returns -1 for this.scale > o.scale, to sort the features in a descending order
compareTo(MetricSpaces.Result) - 类中的方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Result
compareTo(SimpleResult) - 类中的方法net.semanticmetadata.lire.searchers.SimpleResult: Compare the distance values to allow sorting in a tree map.
computeGaussian(FloatArray2D, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
computeGaussianFastMirror(FloatArray2D, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
computeIncreasingGaussianX(FloatArray2D, float, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
computeLaPlaceFilter3(FloatArray2D) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
computeLaPlaceFilter5(FloatArray2D) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
computeSiftFeatures(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftExtractor
computeSiftKeypoints(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor
computeSurfKeypoints(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor
concatenate(TRModel2D) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
contrast() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura: Picture Quality.
ConversionUtils - net.semanticmetadata.lire.utils中的类: Created by IntelliJ IDEA.
ConversionUtils() - 类的构造器net.semanticmetadata.lire.utils.ConversionUtils
convertRgbToHsv(int, int, int, int[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
convolveSeparable(FloatArray2D, float[], float[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter: convolve an image with a horizontal and a vertical kernel simple straightforward, not optimized---replace this with a trusted better version soon
cosineCoefficient(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
count - 类中的变量net.semanticmetadata.lire.indexers.tools.Indexor
countAllFeatures - 类中的变量net.semanticmetadata.lire.classifiers.KMeans
CrCoeff - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
create_gaussian_kernel_2D_offset(float, float, float, boolean) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
createDescriptorFields(BufferedImage) - 类中的方法net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder
createDescriptorFields(BufferedImage) - 接口中的方法net.semanticmetadata.lire.builders.DocumentBuilder: Creates the feature fields for a Lucene Document without creating the document itself.
createDescriptorFields(BufferedImage) - 类中的方法net.semanticmetadata.lire.builders.GlobalDocumentBuilder
createDocument(BufferedImage, String) - 类中的方法net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder
createDocument(BufferedImage, String) - 接口中的方法net.semanticmetadata.lire.builders.DocumentBuilder: Creates a new Lucene document from a BufferedImage.
createDocument(BufferedImage, String) - 类中的方法net.semanticmetadata.lire.builders.GlobalDocumentBuilder
createGaussianKernel1D(float, boolean) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter: Create a 1d-Gaussian kernel of appropriate size
createGaussianKernel2D(float, boolean) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
createGradients(FloatArray2D) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
createHistogram(ShapeContextExtractor.Point[], int, int, float, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor
createIndexWriter(String, boolean) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils: Creates an IndexWriter for given index path, with a SimpleAnalyzer.
createIndexWriter(String, boolean, LuceneUtils.AnalyzerType) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils: Creates an IndexWriter for given index path, with given analyzer.
createIndexWriter(Directory, boolean, LuceneUtils.AnalyzerType) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils: Creates an IndexWriter for given index path, with given analyzer.
createIndexWriter(Directory, boolean, LuceneUtils.AnalyzerType, double) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
createLocalDescriptorFields(List<? extends LocalFeature>, ExtractorItem, LinkedList<Cluster[]>) - 类中的方法net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder: Creates the Lucene Fiels with the vector representation of list of local features.
createMatches(List<SiftFeature>, List<SiftFeature>, float, Model, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: identify corresponding features using spatial constraints
createTransformArray() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
createVectorRepresentation(List<? extends LocalFeature>, Cluster[]) - 接口中的方法net.semanticmetadata.lire.aggregators.Aggregator: This method is used to create the vector representation of an image using the list of Features and a codebook
createVectorRepresentation(List<? extends LocalFeature>, Cluster[]) - 类中的方法net.semanticmetadata.lire.aggregators.BOVW: Given a list of features and a codebook, BOVW.createVectorRepresentation(List, Cluster[]) aggregates the features to create the vector representation according to the BOVW model.
createVectorRepresentation(List<? extends LocalFeature>, Cluster[]) - 类中的方法net.semanticmetadata.lire.aggregators.ShapemeAggregator
createVectorRepresentation(List<? extends LocalFeature>, Cluster[]) - 类中的方法net.semanticmetadata.lire.aggregators.VLAD: Given a list of features and a codebook, VLAD.createVectorRepresentation(List, Cluster[]) aggregates the features to create the vector representation according to the VLAD model.
createVisualWords(List<? extends LocalFeature>, Cluster[]) - 类中的方法net.semanticmetadata.lire.aggregators.ShapemeAggregator
createWorkingCopy(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Converts an image to a standard internal representation.
cropImage(BufferedImage, int, int, int, int) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils
CUTOFF_VALUES - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.sift.ImageArrayConverter
CvSiftExtractor - net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures中的类: Created by Nektarios on 1/10/2014.
CvSiftExtractor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor
CvSiftExtractor(int, int, double, double, double) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor
CvSiftFeature - net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures中的类: Created by Nektarios on 1/10/2014.
CvSiftFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
CvSiftFeature(double, double, double, double[]) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
CvSurfExtractor - net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures中的类: Created by Nektarios on 1/10/2014.
CvSurfExtractor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor
CvSurfExtractor(double, int, int, int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor
CvSurfFeature - net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures中的类: Created by Nektarios on 1/10/2014.
CvSurfFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
CvSurfFeature(double, double, double, double[]) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature

D

data - 类中的变量net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
data - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.JCD
data - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray
DctComparator() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram.DctComparator
DctPoint() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram.DctPoint
DecimateDownSampler - net.semanticmetadata.lire.imageanalysis.filters中的类
DecimateDownSampler(int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.DecimateDownSampler
DecimateDownSampler(int, int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.DecimateDownSampler
DecimateDownSampler(int, int, int, int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.DecimateDownSampler
DEFAULT_DISTANCE_FUNCTION - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
DEFAULT_HISTOGRAM_TYPE - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
DEFAULT_NUMBER_OF_BINS - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
denoiseImage(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Non-local means denoising.
descriptorDistance(SiftFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
descriptorValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
descriptorValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
differenceOfGaussians(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils
differencesBetweenNeighborhoodsHorizontal(int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura: 2.
differencesBetweenNeighborhoodsVertical(int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura: 2.
dimensions - 类中的静态变量net.semanticmetadata.lire.indexers.hashing.BitSampling
directionality() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
distance(Point, Point) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Point: estimate the Euclidean distance of two points in the world
distance - 类中的变量net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Result
distL1(int[], int[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Manhattan distance
distL1(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
distL1(float[], float[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
distL1(byte[], byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
distL2(int[], int[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Euclidean distance
distL2(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Euclidean distance
distL2(float[], float[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Euclidean distance
distortSamplingX(FloatArray2D) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
distortSamplingY(FloatArray2D) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
distributedSample(List<T>, int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor: Get every nth point, where n = items.size()/m
divideAndGet(double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
docs - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
docs - 类中的变量net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
docs - 类中的变量net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
docs - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
docs - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
docs - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
docsCreated - 类中的变量net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder
DocumentBuilder - net.semanticmetadata.lire.builders中的接口: Creating an Index
Use DocumentBuilderFactory to create a DocumentBuilder, which will create Lucene Documents from images.
documentID(int) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.ImageSearchHitsForEvaluation: Returns the id of the document within the respective Lucene IndexReader
documentID(int) - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearchHits: This returns the actual document number within the IndexReader.
documentID(int) - 类中的方法net.semanticmetadata.lire.searchers.SimpleImageSearchHits: Returns the id of the document within the respective Lucene IndexReader
doubleArrayFromString(String) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Parses and returns a double array from a Sting with an arbitrary number of doubles.
doubleValue() - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
downsample(FloatArray2D, FloatArray2D) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: downsample src by simply using every second pixel into dst
For efficiency reasons, the dimensions of dst are not checked, that is, you have to take care, that dst.width == src.width / 2 + src.width % 2 && dst.height == src.height / 2 + src.height % 2 .
drawSample(int, int) - 类中的静态方法net.semanticmetadata.lire.utils.StatsUtils: Draws a set if size size of sample number from 0 to maximum, following an even distribution.
DynamicProgrammingAutoCorrelogramExtraction - net.semanticmetadata.lire.imageanalysis.features.global.correlogram中的类: DynamicProgrammingAutoCorrelogramExtraction is an implementation of dynamic programming approach to build auto-correlogram feature vector from images.

E

EActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
EdgeHistogram - net.semanticmetadata.lire.imageanalysis.features.global中的类: Just a wrapper for the use of LireFeature.
EdgeHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram
edgeHistogram - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: The actual edge histogram.
EdgeHistogramImplementation - net.semanticmetadata.lire.imageanalysis.features.global.mpeg7中的类: This class implements the EdgeHistogram descriptor from the MPEG-7 standard.
EdgeHistogramImplementation(BufferedImage) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: Allocates a new EdgeHistogramDescriptor so that it represents the media located in the file.
EdgeHistogramImplementation() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: Allocates a new EdgeHistogramDescriptor
EnergyMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
enhance(FloatArray2D, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter: in place enhance all values of a FloatArray to fill the given range
Entropy - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrixPlus
equals(Object) - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.IndexedIntArray
equals(Object) - 类中的方法net.semanticmetadata.lire.searchers.SimpleResult
error - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: error depends on what kind of algorithm is running small error is better than large error
estimateBestModel(List<PointMatch>, Collection<PointMatch>, float, float, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D: estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC
increase the error as long as not more inliers occur
estimateBestModel(List<PointMatch>, Collection<PointMatch>, float, float, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D: estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC
increase the error as long as not more inliers occur
estimateModel(List<PointMatch>, Collection<PointMatch>, int, float, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D: estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC
estimateModel(List<PointMatch>, Collection<PointMatch>, int, float, float) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D: estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC
euclidDistance(ShapeContextExtractor.Point, ShapeContextExtractor.Point) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Utils
extract(BufferedImage) - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.Extractor: Extracts the feature vector from a BufferedImage.
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
extract(int[][][]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
extract(int, int[], int[][]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.correlogram.DynamicProgrammingAutoCorrelogramExtraction: extract extracts an auto-correlogram from an Image Not thread safe, use one object per thread.
extract(int, int[], int[][]) - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.global.correlogram.IAutoCorrelogramFeatureExtractor: extract extracts an auto-correlogram from an Image
extract(int, int[], int[][]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.correlogram.MLuxAutoCorrelogramExtraction: extract extracts an auto-correlogram from an Image.
extract(int, int[], int[][]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.correlogram.NaiveAutoCorrelogramExtraction: extract extracts an auto-correlogram from an Image
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
extract() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram: Extracts the color histogram from the given image.
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfExtractor
extract(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.visualattention.StentifordModel
extractFeature() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: extractFeature() takes all the information about the types of edge, that have been found in the sub-images and applies the methods getFirstBlockAVG(int i,int j) through getFourthBlockAVG(int i, int j) on the whole image. returns Local_Edge_Histogram returns the 80 bins
extractGlobalFeature(BufferedImage, GlobalFeature) - 类中的方法net.semanticmetadata.lire.builders.GlobalDocumentBuilder: Images are resized so as not to exceed the DocumentBuilder.MAX_IMAGE_DIMENSION, after that the feature is extracted using the given globalFeature.
extractLocalFeatures(BufferedImage, LocalFeatureExtractor) - 类中的方法net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder: Images are resized so as not to exceed the DocumentBuilder.MAX_IMAGE_DIMENSION, after that features are extracted using the given localFeatureExtractor.
Extractor - net.semanticmetadata.lire.imageanalysis.features中的接口: This is the basic interface for all global and local extractors.
Extractor - net.semanticmetadata.lire.indexers.tools中的类: The Extractor is a configurable class that extracts multiple features from multiple images and puts them into a data file.
Extractor() - 类的构造器net.semanticmetadata.lire.indexers.tools.Extractor
ExtractorItem - net.semanticmetadata.lire.indexers.parallel中的类: This class is a container for all features.
ExtractorItem(Class<? extends Extractor>) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ExtractorItem
ExtractorItem(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ExtractorItem
ExtractorItem(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, int) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ExtractorItem
extractorItem - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
extractorItem - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
extractorItem - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
extractorItems - 类中的变量net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder

F

F1 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrix
F1 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrixPlus
F2 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrix
F2 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrixPlus
F3 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrix
F3 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrixPlus
FastBilateralFilter - net.semanticmetadata.lire.imageanalysis.filters中的类
FastBilateralFilter(int, int, float, float) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.FastBilateralFilter
FastBilateralFilter(int, int, int, float, float) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.FastBilateralFilter
FastBilateralFilter(int, int, int, float, float, int, int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.FastBilateralFilter
FastOpponentImageSearcher - net.semanticmetadata.lire.searchers中的类: This file is part of the Caliph and Emir project: http://www.SemanticMetadata.net
Date: 01.02.2006
Time: 00:17:02
FastOpponentImageSearcher(int) - 类的构造器net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
FCTH - net.semanticmetadata.lire.imageanalysis.features.global中的类: The FCTH feature was created, implemented and provided by Savvas A.
FCTH() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.FCTH
FCTH - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
FCTHQuant - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类
FCTHQuant() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.FCTHQuant
featureCache - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
featureCache - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
featureCache - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
featureClass - 类中的变量net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Parameters
featureClass - 类中的变量net.semanticmetadata.lire.indexers.tools.HashingIndexor
featureClass - 类中的变量net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
featureFieldNames - 类中的静态变量net.semanticmetadata.lire.indexers.tools.Extractor
featureFieldNames - 类中的静态变量net.semanticmetadata.lire.indexers.tools.ParallelExtractor
features - 类中的变量net.semanticmetadata.lire.classifiers.KMeans
features - 类中的静态变量net.semanticmetadata.lire.indexers.tools.Extractor
features - 类中的静态变量net.semanticmetadata.lire.indexers.tools.ParallelExtractor
featureSizeHistogram(Vector<SiftFeature>, float, float, int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: get a histogram of feature sizes
FeatureVector - net.semanticmetadata.lire.imageanalysis.features中的接口: Created by IntelliJ IDEA.
FIELD_NAME_ACCID - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_AUTOCOLORCORRELOGRAM - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_BINARY_PATTERNS_PYRAMID - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_BOVW - 接口中的静态变量net.semanticmetadata.lire.aggregators.Aggregator
FIELD_NAME_CEDD - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_COLORHISTOGRAM - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_COLORLAYOUT - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_CVOPPSIFT - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_CVSIFT - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_CVSURF - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_EDGEHISTOGRAM - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_FCTH - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_GABOR - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_IDENTIFIER - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_JCD - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_JOINT_HISTOGRAM - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_JPEGCOEFFS - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_LOCAL_BINARY_PATTERNS - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_LOCAL_BINARY_PATTERNS_AND_OPPONENT - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_LUMINANCE_LAYOUT - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_OPPONENT_HISTOGRAM - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_PHOG - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_Rank_Opponent - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_ROTATION_INVARIANT_LOCAL_BINARY_PATTERNS - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_SCALABLECOLOR - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_SELF_SIMILARITIES - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_SELF_SIMILARITIES_ORIG - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_SIFT - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_SIMPLE - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_SURF - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_TAMURA - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
FIELD_NAME_VLAD - 接口中的静态变量net.semanticmetadata.lire.aggregators.Aggregator
fieldName - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
fieldName - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
fieldName - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
fieldNamesDictionary - 类中的变量net.semanticmetadata.lire.builders.AbstractLocalDocumentBuilder
fileFilter - 类中的静态变量net.semanticmetadata.lire.utils.FileUtils: basic image file filter.
FileUtils - net.semanticmetadata.lire.utils中的类: This file is part of the Caliph and Emir project: http://www.SemanticMetadata.net
Date: 04.02.2006
Time: 09:44:49
FileUtils() - 类的构造器net.semanticmetadata.lire.utils.FileUtils
filter(ImageSearchHits, IndexReader, Document) - 类中的方法net.semanticmetadata.lire.filters.LsaFilter
filter(TopDocs, IndexReader, Document) - 类中的方法net.semanticmetadata.lire.filters.LsaFilter
filter(ImageSearchHits, IndexReader, Document) - 类中的方法net.semanticmetadata.lire.filters.RerankFilter
filter(TopDocs, IndexReader, Document) - 类中的方法net.semanticmetadata.lire.filters.RerankFilter
Filter - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
Filter() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter
filter() - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.CannyEdgeDetector: Returns the edge image in grayscale.
filter(ImageSearchHits, IndexReader, Document) - 接口中的方法net.semanticmetadata.lire.searchers.SearchHitsFilter: Filters a given result list based on the given query document.
filter(TopDocs, IndexReader, Document) - 接口中的方法net.semanticmetadata.lire.searchers.SearchHitsFilter: Filters the result list of a Lucene search based on image features.
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.BitSamplingImageSearcher
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.GenericFastImageSearcher
findDuplicates(IndexReader) - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearcher: Identifies duplicates in the database.
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.LshImageSearcher
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.MetricSpacesImageSearcher
findDuplicates(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.VisualWordsImageSearcher
findMostSimilar(GlobalFeature) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
findMostSimilar(GlobalFeature[]) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
findMostSimilar(GlobalFeature[], int, int) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
findSimilar(IndexReader, GlobalFeature) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
findSimilar(TopDocs, IndexReader, GlobalFeature) - 类中的方法net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
findSimilar(IndexReader, GlobalFeature) - 类中的方法net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
findSimilar(IndexReader, LireFeature) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
findSimilar(IndexReader, LireFeature) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.ImageSearcherUsingWSsForEvaluation
findSimilar(LireFeature) - 类中的方法net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
findSimilar(IndexReader, LireFeature) - 类中的方法net.semanticmetadata.lire.searchers.GenericFastImageSearcher
findSimilar(IndexReader, LireFeature) - 类中的方法net.semanticmetadata.lire.searchers.ImageSearcherUsingWSs
fit(PointMatch[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: fit the model to a minimal set of point correpondences estimates a model to transform match.p2.local to match.p1.world
fit(PointMatch[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
fit(PointMatch[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
flip(Collection<PointMatch>) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch: flip symmetrically, weight remains unchanged
flipInRange(int, int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter: return a integer that is flipped in the range [0 ... mod - 1]
FloatArray - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
FloatArray() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray
FloatArray2D - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
FloatArray2D(int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
FloatArray2D(float[], int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
FloatArray2DScaleOctave - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类: single octave of a discrete FloatArray2DScaleSpace
This class is optimized for the Difference Of Gaussian detector used in David Lowe's SIFT-algorithm \citep{Loew04}.
FloatArray2DScaleOctave(FloatArray2D, int, float) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: Constructor
FloatArray2DScaleOctave(FloatArray2D, float[], float[], float[][]) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: Constructor
faster initialisation with precomputed gaussian kernels
FloatArray2DScaleOctave.State - net.semanticmetadata.lire.imageanalysis.features.local.sift中的枚举
FloatArray2DScaleOctaveDoGDetector - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
FloatArray2DScaleOctaveDoGDetector() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctaveDoGDetector: Constructor
FloatArray2DSIFT - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
FloatArray2DSIFT(int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: Constructor
floatValue() - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
Fuzzy10Bin - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
Fuzzy10Bin(boolean) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
Fuzzy10Bin - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类
Fuzzy10Bin(boolean) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
Fuzzy10BinHisto - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
Fuzzy10BinHisto - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
Fuzzy10BinRules - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
Fuzzy10BinRules - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
Fuzzy10BinRulesDefinition - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
Fuzzy10BinRulesDefinition - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
Fuzzy24Bin - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
Fuzzy24Bin(boolean) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
Fuzzy24Bin - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类: The FCTH feature was created, implemented and provided by Savvas A.
Fuzzy24Bin(boolean) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
Fuzzy24BinHisto - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
Fuzzy24BinHisto - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
Fuzzy24BinRules - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
Fuzzy24BinRules - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
Fuzzy24BinRulesDefinition - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
Fuzzy24BinRulesDefinition - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
FuzzyColorHistogram - net.semanticmetadata.lire.imageanalysis.features.global中的类
FuzzyColorHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
FuzzyFCTHpart - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类: The FCTH feature was created, implemented and provided by Savvas A.
FuzzyFCTHpart() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
FuzzyOpponentHistogram - net.semanticmetadata.lire.imageanalysis.features.global中的类: Simple fuzzy 64 bin Opponent Histogram, based on the Opponent color space as described in van de Sande, Gevers & Snoek (2010) "Evaluating Color Descriptors for Object and Scene Recognition", IEEE PAMI (see BibTeX in the source code).
FuzzyOpponentHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
FuzzyRules - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
FuzzyRules() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.FuzzyRules
FuzzyRules - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类: The FCTH feature was created, implemented and provided by Savvas A.
FuzzyRules() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyRules

G

Gabor - net.semanticmetadata.lire.imageanalysis.features.global中的类: Implementation of a Gabor texture features done by Marko Keuschnig & Christian Penz
Fixed 2011-05-10 based on the comments of Arthur Lin.
Gabor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.Gabor
generateBoostedQuery(GlobalFeature, int) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces: Creates a text String to be used for search based on the reference points using term boosting instead of repetition.
generateHashes(double[]) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling: Generates and returns the hashes for a given histogram input.
generateHashes(double[]) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing: Generates the hashes from the given hash bundles.
generateHashFunctions() - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling: Writes a file to disk to be read for hashing.
generateHashFunctions(String) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling
generateHashFunctions() - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing: Writes a new file to disk to be read for hashing with LSH.
generateHashFunctions(String) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing
generateHashString(GlobalFeature) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces: Convenience method for MetricSpaces.generateHashString(GlobalFeature, int).
generateHashString(GlobalFeature, int) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces: Creates a text String to be used for indexing and search based on the reference points.
GenericByteLireFeature - net.semanticmetadata.lire.imageanalysis.features中的类: Generic double[] based feature implementation.
GenericByteLireFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
GenericDocValuesImageSearcher - net.semanticmetadata.lire.searchers中的类: A generic image searcher for global features that uses DocValues instead of Lucene text fields.
GenericDocValuesImageSearcher(int, Class<? extends GlobalFeature>, IndexReader) - 类的构造器net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
GenericDoubleLireFeature - net.semanticmetadata.lire.imageanalysis.features中的类: Generic double[] based feature implementation.
GenericDoubleLireFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
GenericFastImageSearcher - net.semanticmetadata.lire.searchers中的类: Created by mlux on 01/02/2006.
GenericFastImageSearcher(int, Class<? extends GlobalFeature>) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, String) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, String) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends GlobalFeature>, boolean, IndexReader) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, boolean, IndexReader, String) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, boolean, IndexReader, String) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends GlobalFeature>, boolean, IndexReader, boolean) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, boolean, IndexReader, boolean, String) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcher(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, boolean, IndexReader, boolean, String) - 类的构造器net.semanticmetadata.lire.searchers.GenericFastImageSearcher
GenericFastImageSearcherForEvaluation - net.semanticmetadata.lire.searchers.forevaluations中的类: Created by mlux on 01/02/2006.
GenericFastImageSearcherForEvaluation(int, Class<? extends GlobalFeature>) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, String) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, String) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends GlobalFeature>, boolean, IndexReader) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, boolean, IndexReader, String) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, boolean, IndexReader, String) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends GlobalFeature>, boolean, IndexReader, boolean) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, boolean, IndexReader, boolean, String) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
GenericFastImageSearcherForEvaluation(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, boolean, IndexReader, boolean, String) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
get() - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
get(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
get8BitRGBImage(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Check if the image is fail safe for color based features that are actually using 8 bits per pixel RGB.
getAffine() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model
getAffine() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
getAffine() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
getAllImageFiles(File, boolean) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Returns all images from a directory in an array of File.
getAllImages(File, boolean) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Returns all images from a directory in an array.
getAndAdd(double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
getAndSet(double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
getAttentionModel() - 类中的方法net.semanticmetadata.lire.imageanalysis.visualattention.StentifordModel
getAttentionVisualization() - 类中的方法net.semanticmetadata.lire.imageanalysis.visualattention.StentifordModel: Visualizes the attention model in a picture.
getBinCounts() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: Gets the Bins of the array.
getBits() - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling
getBuffer() - 类中的方法net.semanticmetadata.lire.indexers.parallel.WorkItem
getBuffer() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.SearchItemForEvaluation
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD: Provides a much faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout: Provides a much faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram: Creates a 40 byte array from an edge histogram descriptor.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH: Creates a small byte array from an FCTH descriptor.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD: Creates a small byte array from an JCD descriptor.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram: Provides a much faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC: Provides a faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD: Provides a faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH: Provides a faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD: Provides a faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP: Provides a faster way of serialization.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
getByteArrayRepresentation() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LireFeature: Returns a compact byte[] based representation of the feature vector.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature: Writing out to bytes ... just to save some time and space.
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getByteArrayRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature: Provides a much faster way of serialization.
getByteHistogram() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
getByteRepresentation() - 类中的方法net.semanticmetadata.lire.classifiers.Cluster: Creates a byte array representation from the clusters mean.
getBytes(BytesRef) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils: Method for 'converting' ByteRefs to bytes.
getByteVectorRepresentation() - 接口中的方法net.semanticmetadata.lire.aggregators.Aggregator: Returns the vector representation in byte[] format.
getByteVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.BOVW: Returns the vector representation in byte[] format.
getByteVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.ShapemeAggregator
getByteVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.VLAD: Returns the vector representation in byte[] format.
getCandidates() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctaveDoGDetector
getCbCoeff() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getClassOfExtractor() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getClassOfExtractor() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LocalFeature
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesExtractor
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigExtractor
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftExtractor
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getClassOfFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfExtractor
getClassOfFeatures() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LocalFeatureExtractor
getClusters() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans
getColorForBin(int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
getColorLayoutImage() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
getComponentHistogram(int[][][], int, int, int, int[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
getCrCoeff() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
getD() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave
getD(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave
getDetector(SimpleExtractor.KeypointDetector) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getDetector(String) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getDistance(FeatureVector) - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
getDistance(double[]) - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout: Compares one descriptor to another.
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
getDistance(double[], double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getDistance(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: Compares one descriptor to another.
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl: Compares one descriptor to another.
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
getDistance(byte[], byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
getDistance(byte[], int, int, byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram: Jeffrey Divergence or Jensen-Shannon divergence (JSD) from Deselaers, T.; Keysers, D. & Ney, H.
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP
getDistance(double[], double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
getDistance(LireFeature) - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LireFeature: The distance function for this type of feature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getDistance() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getDistance(LireFeature) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getDistance(Document, GlobalFeature) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher: Main similarity method called for each and every document in the index.
getDistance(Document, GlobalFeature) - 类中的方法net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
getDistance(Document, byte[]) - 类中的方法net.semanticmetadata.lire.searchers.FastOpponentImageSearcher: Main similarity method called for each and every document in the index.
getDistance(Document, LireFeature) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation: Main similarity method called for each and every document in the index.
getDistance(Document, LireFeature) - 类中的方法net.semanticmetadata.lire.searchers.GenericFastImageSearcher: Main similarity method called for each and every document in the index.
getDistance() - 类中的方法net.semanticmetadata.lire.searchers.SimpleResult
getDuplicate(int) - 接口中的方法net.semanticmetadata.lire.searchers.ImageDuplicates: Returns the list of duplicates at given position
getDuplicate(int) - 类中的方法net.semanticmetadata.lire.searchers.SimpleImageDuplicates
getEdgePoints(BufferedImage, int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor: selects edge points from image.
getExtractorClass() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
getExtractorInstance() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
getFeature(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getFeatureCount() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans
getFeatureInstance() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
getFeatureName(String) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
getFeatureName(String) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
getFeatureName() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LireFeature: Gives a descriptive name of the feature, i.e. a name to show up in benchmarks, menus, UIs, etc.
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getFeatureName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getFeatureObjectSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: Returns the size in bytes of a Feature object.
getFeatureObjectSize(int, int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesExtractor
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigExtractor
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftExtractor
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getFeatures() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfExtractor
getFeatures() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LocalFeatureExtractor
getFeatureVector() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.FeatureVector: Convenience method to get the feature vector as double[] array.
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram: by patch contributed by Franz Graf, franz.graf@gmail.com
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getFeatureVector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getFieldName() - 接口中的方法net.semanticmetadata.lire.aggregators.Aggregator: Returns the FieldName according to the selected aggregator.
getFieldName() - 类中的方法net.semanticmetadata.lire.aggregators.BOVW
getFieldName() - 类中的方法net.semanticmetadata.lire.aggregators.ShapemeAggregator
getFieldName() - 类中的方法net.semanticmetadata.lire.aggregators.VLAD
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
getFieldName() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LireFeature: Returns the preferred field name for indexing.
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getFieldName() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
getFileName() - 类中的方法net.semanticmetadata.lire.indexers.parallel.WorkItem
getGlobalFeatureClass() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getGrayscaleImage(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Converts an image to grey.
getHaarTransformedHistogram() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
getImagePreprocessor() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
getIndexNumber() - 类中的方法net.semanticmetadata.lire.searchers.SimpleResult
getInstance() - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.correlogram.DynamicProgrammingAutoCorrelogramExtraction
getKeypointDetector() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
getKpdetector() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
getL() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave
getL(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave
getL() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Point
getL1(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: get the gradients of the corresponding gaussian image, generates it on demand, if not yet available.
getListOfFeatures() - 类中的方法net.semanticmetadata.lire.indexers.parallel.WorkItem
getMaxSideLength() - 类中的方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor
getMean() - 类中的方法net.semanticmetadata.lire.classifiers.Cluster: Returns the cluster mean
getMeans() - 类中的方法net.semanticmetadata.lire.utils.cv.KMeans
getMirror(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
getNormalizedFeature(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
getNumberOfBitplanesDiscarded() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
getNumberOfCCoeff() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
getNumberOfCoefficients() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
getNumberOfYCoeff() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
getNumClusters() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans: Get the number of desired clusters.
getNumFunctionBundles() - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling
getNumHashesUsedForQuery() - 类中的方法net.semanticmetadata.lire.searchers.MetricSpacesImageSearcher
getOctave(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT
getOctaves() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT
getP1() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch
getP2() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch
getParameters() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor
getParameters() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor
getPath() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.SimpleResultForEvaluation
getPercentageDone() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
getPos(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
getSampledPointsImage(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor: Method for debug use only, generates an image of the sampled points
getSimilarity(int[], int[], int[], int[], int[], int[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl: Takes two ColorLayout Coeff sets and calculates similarity.
getSimilarity(ScalableColorImpl) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
getSimpleResultForEvaluation() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.SearchItemForEvaluation
getSize() - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext: not used
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getSize() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getSize() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LocalFeature
getStress() - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
getStringRepresentation() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getStringVectorRepresentation() - 接口中的方法net.semanticmetadata.lire.aggregators.Aggregator: Returns the vector representation in string format.
getStringVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.BOVW: Returns the vector representation in string format, according to the BOVW.arrayToVisualWordString(double[]) method.
getStringVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.ShapemeAggregator
getStringVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.VLAD: Returns the vector representation in string format.
getThreshold() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation
getTime() - 类中的方法net.semanticmetadata.lire.utils.StopWatch
getVectorRepresentation() - 接口中的方法net.semanticmetadata.lire.aggregators.Aggregator: Returns the vector representation in double[] format.
getVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.BOVW: Returns the vector representation in double[] format.
getVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.ShapemeAggregator
getVectorRepresentation() - 类中的方法net.semanticmetadata.lire.aggregators.VLAD: Returns the vector representation in double[] format.
getW() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Point
getW() - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling
getWeight() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext: not preserved over byte array representation
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getX() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getX() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LocalFeature
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext: not preserved over byte array representation
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
getY() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
getY() - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LocalFeature
getYCoeff() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
getYUVImage(WritableRaster, int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
getZero(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
GlobalDocumentBuilder - net.semanticmetadata.lire.builders中的类: This class creates Lucene Documents from images using one or multiple Global Features.
GlobalDocumentBuilder() - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder
GlobalDocumentBuilder(boolean) - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder
GlobalDocumentBuilder(boolean, GlobalDocumentBuilder.HashingMode) - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder: Creates a GlobalDocumentBuilder with the specific hashing mode.
GlobalDocumentBuilder(boolean, GlobalDocumentBuilder.HashingMode, boolean) - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder: Creates a GlobalDocumentBuilder with the specific hashing mode.
GlobalDocumentBuilder(Class<? extends GlobalFeature>) - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder
GlobalDocumentBuilder(Class<? extends GlobalFeature>, boolean) - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder
GlobalDocumentBuilder(Class<? extends GlobalFeature>, boolean, boolean) - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder: Use DocValues instead of TextField implementations for storing the feature vector.
GlobalDocumentBuilder(ExtractorItem) - 类的构造器net.semanticmetadata.lire.builders.GlobalDocumentBuilder
GlobalDocumentBuilder.HashingMode - net.semanticmetadata.lire.builders中的枚举
GlobalFeature - net.semanticmetadata.lire.imageanalysis.features中的接口: This is the basic interface for all global features.
grayscale(BufferedImage) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor

H

haarTransformedHistogram - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
HActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
hasEnded() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
HASH_FIELD_SUFFIX - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
hashCode() - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.IndexedIntArray
hashFunctionsFileName - 类中的静态变量net.semanticmetadata.lire.indexers.hashing.BitSampling
HashingIndexor - net.semanticmetadata.lire.indexers.tools中的类: This class extends Indexor and does hashing (bit sampling) on a given feature.
HashingIndexor() - 类的构造器net.semanticmetadata.lire.indexers.tools.HashingIndexor
hasNaNs(double[]) - 类中的方法net.semanticmetadata.lire.classifiers.KMeans
height - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
height - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave
histogram - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.CEDD
histogram - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.FCTH
HorizontalMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
HueActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
HueActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
HueMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
HueMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin

I

i - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram.DctPoint
IAutoCorrelogramFeatureExtractor - net.semanticmetadata.lire.imageanalysis.features.global.correlogram中的接口: IAutoCorrelogramFeatureExtractor
ImageArrayConverter - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
ImageArrayConverter() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.ImageArrayConverter
ImageDuplicates - net.semanticmetadata.lire.searchers中的接口: This interface specifies the format for returning found duplicates.
ImagePreprocessor - net.semanticmetadata.lire.indexers.parallel中的接口: Created by luknoch on 01.10.15.
ImageSearcher - net.semanticmetadata.lire.searchers中的接口: Searching in an Index Use the ImageSearcherFactory for creating an ImageSearcher, which will retrieve the images for you from the index.
ImageSearcherUsingWSs - net.semanticmetadata.lire.searchers中的类: Created by Nektarios on 9/10/2014.
ImageSearcherUsingWSs(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, IndexReader, String, boolean, boolean, boolean) - 类的构造器net.semanticmetadata.lire.searchers.ImageSearcherUsingWSs
ImageSearcherUsingWSs(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, IndexReader, String, boolean, boolean, boolean) - 类的构造器net.semanticmetadata.lire.searchers.ImageSearcherUsingWSs
ImageSearcherUsingWSsForEvaluation - net.semanticmetadata.lire.searchers.forevaluations中的类: Created by Nektarios on 9/10/2014.
ImageSearcherUsingWSsForEvaluation(int, Class<? extends LocalFeatureExtractor>, Aggregator, int, IndexReader, String, boolean, boolean, boolean) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.ImageSearcherUsingWSsForEvaluation
ImageSearcherUsingWSsForEvaluation(int, Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Aggregator, int, IndexReader, String, boolean, boolean, boolean) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.ImageSearcherUsingWSsForEvaluation
ImageSearchHits - net.semanticmetadata.lire.searchers中的接口: This class simulates the original Lucene Hits object.
ImageSearchHitsForEvaluation - net.semanticmetadata.lire.searchers.forevaluations中的类: Created by Nektarios on 11/6/2015.
ImageSearchHitsForEvaluation(Collection<SimpleResultForEvaluation>, double) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.ImageSearchHitsForEvaluation
ImageSearchHitsForEvaluation(Collection<SimpleResultForEvaluation>, double, boolean) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.ImageSearchHitsForEvaluation: Basic constructor to create results.
ImageToFloatArray2D(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.ImageArrayConverter
ImageUtils - net.semanticmetadata.lire.utils中的类: Some little helper methods.
ImageUtils() - 类的构造器net.semanticmetadata.lire.utils.ImageUtils
img - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
img - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
imgXSize - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
imgYSize - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
index - 类中的变量net.semanticmetadata.lire.imageanalysis.filters.IndexedIntArray
index - 类中的变量net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Result
IndexedIntArray - net.semanticmetadata.lire.imageanalysis.filters中的类
IndexedIntArray(int[], int) - 类的构造器net.semanticmetadata.lire.imageanalysis.filters.IndexedIntArray
Indexor - net.semanticmetadata.lire.indexers.tools中的类: The Indexor (yes, I know the hashFunctionsFileName sounds weird, but it should match the Extractor class, and not the Lucene Indexing classes) reads data files created by the Extractor.
Indexor() - 类的构造器net.semanticmetadata.lire.indexers.tools.Indexor
indexPath - 类中的变量net.semanticmetadata.lire.indexers.tools.Indexor
indexPath - 类中的变量net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
indexReferencePoints(Class, int, int, File, File) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces: Index reference points for use with a specific feature.
init() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans
init(CEDD, FCTH) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
init() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
init(FloatArray2D, int, float, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: initialize the scale space as a scale pyramid having octave stubs only
init(IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
init() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
init() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.ImageSearcherUsingWSsForEvaluation
init() - 类中的方法net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
init() - 类中的方法net.semanticmetadata.lire.searchers.GenericFastImageSearcher
init() - 类中的方法net.semanticmetadata.lire.searchers.ImageSearcherUsingWSs
Input1 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.FuzzyRules
Input1 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyRules
Input2 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.FuzzyRules
Input2 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyRules
Input3 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.FuzzyRules
Input3 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyRules
inputFiles - 类中的变量net.semanticmetadata.lire.indexers.tools.Indexor
inputFiles - 类中的变量net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
instance - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.correlogram.DynamicProgrammingAutoCorrelogramExtraction
intValue() - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
invertImage(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Inverts a grey scale image.
isCaching - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
isCaching - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
isCaching - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
isConfigured() - 类中的方法net.semanticmetadata.lire.indexers.tools.Indexor
isConfigured() - 类中的方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
isGlobal() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
isImageFileCompatible(File) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Just opens an image with Java and reports if false if there are problems.
isLocal() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem
isRecalcable() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
isSimple() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ExtractorItem

J

j - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram.DctPoint
JCD - net.semanticmetadata.lire.imageanalysis.features.global中的类: A joint descriptor joining CEDD and FCTH in one histogram.
JCD(CEDD, FCTH) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.JCD
JCD() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.JCD
JointHistogram - net.semanticmetadata.lire.imageanalysis.features.global.joint中的类: A simple implementation of a joint histogram combining 64-bin RGB and pixel rank.
JointHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram
JpegCoefficientHistogram - net.semanticmetadata.lire.imageanalysis.features.global中的类
JpegCoefficientHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
JpegCoefficientHistogram.DctComparator - net.semanticmetadata.lire.imageanalysis.features.global中的类
JpegCoefficientHistogram.DctPoint - net.semanticmetadata.lire.imageanalysis.features.global中的类
jsd(int[], int[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Jeffrey Divergence or Jensen-Shannon divergence (JSD) from Deselaers, T.; Keysers, D. & Ney, H.
jsd(byte[], byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
jsd(float[], float[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
jsd(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils

K

KeepPreviuesValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
KeepPreviuesValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
KeepPreviusValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
KeepPreviusValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
KMeans - net.semanticmetadata.lire.classifiers中的类: Created by Mathias on 23/09/2008.
KMeans(int) - 类的构造器net.semanticmetadata.lire.classifiers.KMeans
KMeans - net.semanticmetadata.lire.utils.cv中的类: Simple, re-usable and straight k-means implementation based on double[] feature vectors and L2 distance.
KMeans(List<double[]>, int) - 类的构造器net.semanticmetadata.lire.utils.cv.KMeans
ksDistance(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Kolmogorov-Smirnoff Distance for two equal length, equal summed histograms as described in Rubner, Yossi, Carlo Tomasi, and Leonidas J.

L

lazySet(double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
ldu(int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Filter: fast floor ld of unsigned v
lenghtOfPostingList - 类中的变量net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Parameters
length - 类中的变量net.semanticmetadata.lire.classifiers.KMeans
length() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.ImageSearchHitsForEvaluation: Returns the size of the result list.
length() - 接口中的方法net.semanticmetadata.lire.searchers.ImageDuplicates: Returns the size of the result list.
length() - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearchHits: Returns the size of the result list.
length() - 类中的方法net.semanticmetadata.lire.searchers.SimpleImageDuplicates
length() - 类中的方法net.semanticmetadata.lire.searchers.SimpleImageSearchHits: Returns the size of the result list.
LireCustomCodec - net.semanticmetadata.lire.indexers中的类: Custom stored fields compression configuration.
LireCustomCodec() - 类的构造器net.semanticmetadata.lire.indexers.LireCustomCodec
LireFeature - net.semanticmetadata.lire.imageanalysis.features中的接口: This is the basic interface for all content based features.
LireFeatureStoredFieldFormat - net.semanticmetadata.lire.indexers中的类: Custom stored fields compression configuration.
LireFeatureStoredFieldFormat() - 类的构造器net.semanticmetadata.lire.indexers.LireFeatureStoredFieldFormat: Sole constructor.
loadReferencePoints(File) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces: Init with a single file.
LocalBinaryPatterns - net.semanticmetadata.lire.imageanalysis.features.global中的类: A simple implementation of the original local binary pattern texture feature.
LocalBinaryPatterns() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
LocalBinaryPatternsAndOpponent - net.semanticmetadata.lire.imageanalysis.features.global.joint中的类: A simple implementation of the rotation invariant local binary pattern feature.
LocalBinaryPatternsAndOpponent() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
LocalDocumentBuilder - net.semanticmetadata.lire.builders中的类: This class creates Lucene Documents from images using one or multiple Local Features.
LocalDocumentBuilder() - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(Class<? extends LocalFeatureExtractor>, Cluster[]) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(Class<? extends LocalFeatureExtractor>, LinkedList<Cluster[]>) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(ExtractorItem, Cluster[]) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(ExtractorItem, LinkedList<Cluster[]>) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(Class<? extends LocalFeatureExtractor>, Cluster[], Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(Class<? extends LocalFeatureExtractor>, LinkedList<Cluster[]>, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(ExtractorItem, Cluster[], Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalDocumentBuilder(ExtractorItem, LinkedList<Cluster[]>, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.LocalDocumentBuilder
LocalFeature - net.semanticmetadata.lire.imageanalysis.features中的接口: This is the basic interface for all local features.
LocalFeatureExtractor - net.semanticmetadata.lire.imageanalysis.features中的接口: This is the basic interface for all local extractors.
LocalitySensitiveHashing - net.semanticmetadata.lire.indexers.hashing中的类: Each feature vector v with dimension d gets k hashes from a hash bundle h(v) = (h^1(v), h^2(v), ..., h^k(v)) with h^i(v) = (a^i*v + b^i)/w (rounded down), with a^i from R^d and b^i in [0,w)
If m of the k hashes match, then we assume that the feature vectors belong to similar images.
LocalitySensitiveHashing() - 类的构造器net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing
location - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
logger - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
logger - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
logger - 类中的变量net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
logger - 类中的变量net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
logger - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
logger - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
logger - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
logSpace(double, double, int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Utils: create an array with numSlizes log space distributed.
longValue() - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
LsaFilter - net.semanticmetadata.lire.filters中的类: Filtering results based on LSA.
LsaFilter(Class, String) - 类的构造器net.semanticmetadata.lire.filters.LsaFilter
LshImageSearcher - net.semanticmetadata.lire.searchers中的类: This class allows for searching based on BitSampling HashingMode.
LshImageSearcher(int, String, String, GlobalFeature) - 类的构造器net.semanticmetadata.lire.searchers.LshImageSearcher: Creates a new searcher for BitSampling based hashes.
LshImageSearcher(int, String, String, GlobalFeature, int) - 类的构造器net.semanticmetadata.lire.searchers.LshImageSearcher
LshImageSearcher(int, String, String, GlobalFeature, InputStream) - 类的构造器net.semanticmetadata.lire.searchers.LshImageSearcher
LshImageSearcher(int, String, String, GlobalFeature, InputStream, int) - 类的构造器net.semanticmetadata.lire.searchers.LshImageSearcher
LUCENE_VERSION - 类中的静态变量net.semanticmetadata.lire.utils.LuceneUtils: Currently employed version of Lucene
LuceneUtils - net.semanticmetadata.lire.utils中的类: This class provides some common functions for Lucene.
LuceneUtils() - 类的构造器net.semanticmetadata.lire.utils.LuceneUtils
LuceneUtils.AnalyzerType - net.semanticmetadata.lire.utils中的枚举: Different types of analyzers
LuminanceLayout - net.semanticmetadata.lire.imageanalysis.features.global中的类: The LuminanceLayout Descriptor is intended for grayscale or B/W images.
LuminanceLayout() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout

M

main(String[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.correlogram.DynamicProgrammingAutoCorrelogramExtraction
main(String[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftExtractor
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling: Generate new hash functions.
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.tools.Extractor
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.tools.HashingIndexor
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.tools.Indexor
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor
main(String[]) - 类中的静态方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
main(String[]) - 类中的静态方法net.semanticmetadata.lire.utils.cv.PixelClustering
makeGaussianKernel(int, float) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: creates a Gaussian kernel for ConvolveOp for blurring an image
makeGreyLevel() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: The width and height of the media is taken to convert the RGB values into luminance values.
Mask1 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.MaskResults
Mask2 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.MaskResults
Mask3 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.MaskResults
Mask4 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.MaskResults
Mask5 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.MaskResults
MaskResults - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
MaskResults() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.MaskResults
MAX_IMAGE_DIMENSION - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
maxDistance - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
maxDistance - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
maxDistance - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
maxDistance - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
maxHits - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
maxHits - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
maxHits - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
MetricSpaces - net.semanticmetadata.lire.indexers.hashing中的类: This hashing approach implements the proximity approach "metric spaces" based on the work of Giuseppe Amato.
MetricSpaces() - 类的构造器net.semanticmetadata.lire.indexers.hashing.MetricSpaces
MetricSpaces.Parameters - net.semanticmetadata.lire.indexers.hashing中的类: For storing the parameters per feature.
MetricSpaces.Result - net.semanticmetadata.lire.indexers.hashing中的类
MetricSpacesImageSearcher - net.semanticmetadata.lire.searchers中的类: This class allows for searching based on BitSampling HashingMode.
MetricSpacesImageSearcher(int, File) - 类的构造器net.semanticmetadata.lire.searchers.MetricSpacesImageSearcher: Creates a new searcher for MetricSpaces based indexed features.The field names are inferred from the entries in the reference point file.
MetricSpacesImageSearcher(int, File, int) - 类的构造器net.semanticmetadata.lire.searchers.MetricSpacesImageSearcher: Creates a new searcher for MetricSpaces based indexed features.
MetricsUtils - net.semanticmetadata.lire.utils中的类: User: mlux Date: 25.11.2009 Time: 14:32:49
MetricsUtils() - 类的构造器net.semanticmetadata.lire.utils.MetricsUtils
MIN_SET_SIZE - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.sift.Model
MIN_SET_SIZE - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
MIN_SET_SIZE - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
minimize(Collection<PointMatch>) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model
minimize(Collection<PointMatch>) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
minimize(Collection<PointMatch>) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
MLuxAutoCorrelogramExtraction - net.semanticmetadata.lire.imageanalysis.features.global.correlogram中的类: This method was developed by Mathias Lux.
MLuxAutoCorrelogramExtraction() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.correlogram.MLuxAutoCorrelogramExtraction
MLuxAutoCorrelogramExtraction(AutoColorCorrelogram.Mode) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.correlogram.MLuxAutoCorrelogramExtraction
Model - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类: Abstract class for arbitrary geometric transformation models to be applied to points in n-dimensional space.
Model() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: instantiates an empty model with maximally large error
move() - 类中的方法net.semanticmetadata.lire.classifiers.Cluster

N

NaiveAutoCorrelogramExtraction - net.semanticmetadata.lire.imageanalysis.features.global.correlogram中的类: NaiveAutoCorrelogramExtraction is an implementation of the naice approach to extract auto-correlogram feature vector from images (Full Neighborhood is used).
NaiveAutoCorrelogramExtraction() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.correlogram.NaiveAutoCorrelogramExtraction
NAN - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Utils
Neighborhood - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
Neighborhood() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.Neighborhood
net.semanticmetadata.lire.aggregators - 程序包 net.semanticmetadata.lire.aggregators
net.semanticmetadata.lire.builders - 程序包 net.semanticmetadata.lire.builders
net.semanticmetadata.lire.classifiers - 程序包 net.semanticmetadata.lire.classifiers
net.semanticmetadata.lire.filters - 程序包 net.semanticmetadata.lire.filters
net.semanticmetadata.lire.imageanalysis.features - 程序包 net.semanticmetadata.lire.imageanalysis.features
net.semanticmetadata.lire.imageanalysis.features.global - 程序包 net.semanticmetadata.lire.imageanalysis.features.global
net.semanticmetadata.lire.imageanalysis.features.global.cedd - 程序包 net.semanticmetadata.lire.imageanalysis.features.global.cedd
net.semanticmetadata.lire.imageanalysis.features.global.centrist - 程序包 net.semanticmetadata.lire.imageanalysis.features.global.centrist
net.semanticmetadata.lire.imageanalysis.features.global.correlogram - 程序包 net.semanticmetadata.lire.imageanalysis.features.global.correlogram
net.semanticmetadata.lire.imageanalysis.features.global.fcth - 程序包 net.semanticmetadata.lire.imageanalysis.features.global.fcth
net.semanticmetadata.lire.imageanalysis.features.global.joint - 程序包 net.semanticmetadata.lire.imageanalysis.features.global.joint
net.semanticmetadata.lire.imageanalysis.features.global.mpeg7 - 程序包 net.semanticmetadata.lire.imageanalysis.features.global.mpeg7
net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid - 程序包 net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid
net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures - 程序包 net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures
net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities - 程序包 net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities: Created by Nektarios Anagnostopoulos on 5/5/2015.
net.semanticmetadata.lire.imageanalysis.features.local.shapecontext - 程序包 net.semanticmetadata.lire.imageanalysis.features.local.shapecontext
net.semanticmetadata.lire.imageanalysis.features.local.sift - 程序包 net.semanticmetadata.lire.imageanalysis.features.local.sift
net.semanticmetadata.lire.imageanalysis.features.local.simple - 程序包 net.semanticmetadata.lire.imageanalysis.features.local.simple
net.semanticmetadata.lire.imageanalysis.features.local.surf - 程序包 net.semanticmetadata.lire.imageanalysis.features.local.surf
net.semanticmetadata.lire.imageanalysis.filters - 程序包 net.semanticmetadata.lire.imageanalysis.filters
net.semanticmetadata.lire.imageanalysis.utils - 程序包 net.semanticmetadata.lire.imageanalysis.utils
net.semanticmetadata.lire.imageanalysis.visualattention - 程序包 net.semanticmetadata.lire.imageanalysis.visualattention
net.semanticmetadata.lire.indexers - 程序包 net.semanticmetadata.lire.indexers
net.semanticmetadata.lire.indexers.hashing - 程序包 net.semanticmetadata.lire.indexers.hashing
net.semanticmetadata.lire.indexers.parallel - 程序包 net.semanticmetadata.lire.indexers.parallel
net.semanticmetadata.lire.indexers.tools - 程序包 net.semanticmetadata.lire.indexers.tools
net.semanticmetadata.lire.searchers - 程序包 net.semanticmetadata.lire.searchers
net.semanticmetadata.lire.searchers.custom - 程序包 net.semanticmetadata.lire.searchers.custom
net.semanticmetadata.lire.searchers.forevaluations - 程序包 net.semanticmetadata.lire.searchers.forevaluations
net.semanticmetadata.lire.utils - 程序包 net.semanticmetadata.lire.utils
net.semanticmetadata.lire.utils.cv - 程序包 net.semanticmetadata.lire.utils.cv
NORM_VALUES - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.sift.ImageArrayConverter
normalize(double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
normalizeL1(double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Euclidean normalization of a double[] histogram. // todo: make it faster and less memory consuming ...
normalizeL2(double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Euclidean normalization of a double[] histogram. // todo: make it faster and less memory consuming ...
normalizeMax(double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Max normalization of a double[] histogram. // todo: make it faster and less memory consuming ...
NUM_OF_THREADS - 接口中的静态变量net.semanticmetadata.lire.builders.DocumentBuilder
NumberOfBitplanesDiscarded - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
NumberOfCoefficients - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
numberOfReferencePoints - 类中的变量net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Parameters
numCCoeff - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
numClusters - 类中的变量net.semanticmetadata.lire.classifiers.KMeans
numFunctionBundles - 类中的静态变量net.semanticmetadata.lire.indexers.hashing.BitSampling
numFunctionBundles - 类中的静态变量net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing
numThreads - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
numThreads - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
numYCoeff - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl

O

openIndexReader(String) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
openIndexReader(String, boolean) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
openIndexReader(FSDirectory) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
openIndexReader(FSDirectory, boolean) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
openIndexReader(IndexWriter, boolean) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
openIndexSearcher(IndexReader) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils
OpponentHistogram - net.semanticmetadata.lire.imageanalysis.features.global中的类: Simple 64 bin Opponent Histogram, based on the Opponent color space as described in van de Sande, Gevers & Snoek (2010) "Evaluating Color Descriptors for Object and Scene Recognition", IEEE PAMI (see BibTeX in the source code).
OpponentHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
optimizeWriter(IndexWriter) - 类中的静态方法net.semanticmetadata.lire.utils.LuceneUtils: Optimizes an index.
orientation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
Output - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.FuzzyRules
Output - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyRules
overallStress() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans: Squared error in classification.
overallStress() - 类中的方法net.semanticmetadata.lire.classifiers.ParallelKMeans

P

ParallelExtractor - net.semanticmetadata.lire.indexers.tools中的类: The Extractor is a configurable class that extracts multiple features from multiple images and puts them into a data file.
ParallelExtractor() - 类的构造器net.semanticmetadata.lire.indexers.tools.ParallelExtractor
ParallelIndexer - net.semanticmetadata.lire.indexers.parallel中的类: This class allows for creating indexes in a parallel manner.
ParallelIndexer(int, String, String) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, String, int, int) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, String, int, int, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, String, int[], int) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, String, int[], int, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, String, boolean) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, String, String) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, File) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, File, GlobalDocumentBuilder.HashingMode) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer: Constructor for use with hashing.
ParallelIndexer(int, String, File, GlobalDocumentBuilder.HashingMode, boolean) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer: Constructor for use with hashing and optional storage in DocValues instead of Lucene fields.
ParallelIndexer(int, String, File, GlobalDocumentBuilder.HashingMode, boolean, int) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer: Constructor for use with hashing and optional storage in DocValues instead of Lucene fields.
ParallelIndexer(int, String, File, int, int) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, File, int, int, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, File, int[], int) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, File, int[], int, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, File, boolean) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelIndexer(int, String, File, String) - 类的构造器net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
ParallelKMeans - net.semanticmetadata.lire.classifiers中的类: Created by Mathias on 12/10/11.
ParallelKMeans(int) - 类的构造器net.semanticmetadata.lire.classifiers.ParallelKMeans
Parameters() - 类的构造器net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Parameters
path(int) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.ImageSearchHitsForEvaluation
PHOG - net.semanticmetadata.lire.imageanalysis.features.global中的类: The PHOG descriptor is described in Anna Bosch, Andrew Zisserman & Xavier Munoz (2007) "Representing shape with a spatial pyramid kernel", CVIR 2007.
PHOG() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.PHOG
PixelClustering - net.semanticmetadata.lire.utils.cv中的类: A simple pixel clustering algorithm based on RGB, k-means and L2 distance.
PixelClustering() - 类的构造器net.semanticmetadata.lire.utils.cv.PixelClustering
Point(int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Point
Point - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类: a generic n-dimensional point location
keeps local coordinates final, application of a model changes the world coordinates of the point
License: GPL
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License 2 as published by the Free Software Foundation.
Point(float[]) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.Point: Constructor
sets this.l to the given float[] reference
PointMatch - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
PointMatch(Point, Point, float) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch
PointMatch(Point, Point) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch
preConcatenate(TRModel2D) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
printHelp() - 类中的静态方法net.semanticmetadata.lire.indexers.tools.Indexor: Just prints help.
printHelp() - 类中的静态方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor: Just prints help.
process(BufferedImage) - 接口中的方法net.semanticmetadata.lire.indexers.parallel.ImagePreprocessor
ProximityHashingIndexor - net.semanticmetadata.lire.indexers.tools中的类: The Indexor (yes, I know the hashFunctionsFileName sounds weird, but it should match the Extractor class, and not the Lucene Indexing classes) reads data files created by the Extractor.
ProximityHashingIndexor() - 类的构造器net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor

Q

quant512 - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
queue - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
queue - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher

R

randomSample(List<T>, int) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor: get a random sample from the given points
RankAndOpponent - net.semanticmetadata.lire.imageanalysis.features.global.joint中的类: A simple implementation of a joint opponent histogram combining 64-bin RGB and pixel rank.
RankAndOpponent() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
readClusters(String) - 类中的静态方法net.semanticmetadata.lire.classifiers.Cluster
readCodeBook(InputStream) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Reads a double array per line from a text file for the use of code books for local features.
reader - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
reader - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
reader - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
reader - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
readFileLines(File, boolean) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils
readFileToByteArray(File) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Reads a whole file into a StringBuffer based on java.nio
readHashFunctions() - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling: Reads a file from disk, where the hash bundles are specified.
readHashFunctions(InputStream) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling: Reads a file from a given InputStream, where the hash bundles are specified.
readHashFunctions() - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing: Reads a file from disk and sets the hash functions.
readHashFunctions(InputStream) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.LocalitySensitiveHashing
readWholeFile(File, StringBuilder) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Reads a whole file into a StringBuffer based on java.nio
recalc() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
recomputeMeans() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans: Computes the mean per cluster (averaged vector)
recomputeMeans() - 类中的方法net.semanticmetadata.lire.classifiers.ParallelKMeans
relevanceFeedback(ImageSearchHits, Set<Document>, Set<Document>) - 类中的方法net.semanticmetadata.lire.searchers.AbstractImageSearcher
relevanceFeedback(ImageSearchHits, Set<Document>, Set<Document>) - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearcher: Modifies the given search by the provided positive and negative examples.
removeScratches(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils
reOrganizeFeatures() - 类中的方法net.semanticmetadata.lire.classifiers.KMeans: Re-shuffle all features.
reOrganizeFeatures() - 类中的方法net.semanticmetadata.lire.classifiers.ParallelKMeans: Re-shuffle all features.
RerankFilter - net.semanticmetadata.lire.filters中的类: A result list is re-ranked based on the given query.
RerankFilter(Class, String) - 类的构造器net.semanticmetadata.lire.filters.RerankFilter
reset() - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
Result(double, int) - 类的构造器net.semanticmetadata.lire.indexers.hashing.MetricSpaces.Result
ResultsTable - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
ResultsTable - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
ResultsTable - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
RGB2HSV - net.semanticmetadata.lire.imageanalysis.features.global.cedd中的类
RGB2HSV() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.cedd.RGB2HSV
RGB2HSV - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类: The FCTH feature was created, implemented and provided by Savvas A.
RGB2HSV() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.RGB2HSV
rgb2hsv(int, int, int, int[]) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.utils.ColorConversion: Adapted from ImageJ documentation: http://www.f4.fhtw-berlin.de/~barthel/ImageJ/ColorInspector//HTMLHelp/farbraumJava.htm
rgb2yuv(int, int, int, int[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram: Adapted from ImageJ documentation: http://www.f4.fhtw-berlin.de/~barthel/ImageJ/ColorInspector//HTMLHelp/farbraumJava.htm
rgbPalette64 - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
RotationInvariantLocalBinaryPatterns - net.semanticmetadata.lire.imageanalysis.features.global中的类: A simple implementation of the rotation invariant local binary pattern feature.
RotationInvariantLocalBinaryPatterns() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
RulesDefinition - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
run(FloatArray2DScaleOctave) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctaveDoGDetector
run() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: detect features in all scale octaves
run(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: detect features in all scale octaves
run() - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
run() - 类中的方法net.semanticmetadata.lire.indexers.tools.Extractor
run() - 类中的方法net.semanticmetadata.lire.indexers.tools.Indexor
run() - 类中的方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor
run() - 类中的方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
runOctave(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DSIFT: detect features in the specified scale octave

S

SAMPLE_POINTS - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor
SaturationActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
SaturationActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
SaturationActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
SaturationActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
SaturationMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
SaturationMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
SaturationMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
SaturationMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
saveImageResultsToHtml(String, ImageSearchHits, String, IndexReader) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Puts results into a HTML file.
saveImageResultsToHtml(String, TopDocs, IndexReader, String) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils: Puts results into a HTML file.
saveImageResultsToPng(String, ImageSearchHits, String, IndexReader) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils
saveImageResultsToPng(String, TopDocs, String, IndexReader) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils
ScalableColor - net.semanticmetadata.lire.imageanalysis.features.global中的类: Just a wrapper for the use of LireFeature.
ScalableColor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor
ScalableColorImpl - net.semanticmetadata.lire.imageanalysis.features.global.mpeg7中的类: ScalableColor
ScalableColorImpl() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
ScalableColorImpl(BufferedImage, int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
ScalableColorImpl(BufferedImage) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
ScalableColorImpl(int[]) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl: Use this constructor if the pixel data was taken from a non rectangular region.
scalableColorQuantValues - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
scale - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
scaleImage(BufferedImage, int) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Scales down an image into a box of maxSideLength x maxSideLength.
scaleImage(BufferedImage, int, int) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Scale image to an arbitrary shape not retaining proportions and aspect ratio.
score(int) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.ImageSearchHitsForEvaluation: Returns the score of the document at given position.
score(int) - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearchHits: Returns the score of the document at given position.
score(int) - 类中的方法net.semanticmetadata.lire.searchers.SimpleImageSearchHits: Returns the score of the document at given position.
search(InputStream, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.AbstractImageSearcher: Searches for images similar to the given image.
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.BitSamplingImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.BitSamplingImageSearcher
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
search(BufferedImage, IndexReader, TopDocs) - 类中的方法net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
search(TopDocs, Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
search(int) - 类中的方法net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.GenericFastImageSearcher
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.GenericFastImageSearcher
search(BufferedImage, IndexReader) - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearcher: Searches for images similar to the given image.
search(Document, IndexReader) - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearcher: Searches for images similar to the given image, defined by the Document from the index.
search(InputStream, IndexReader) - 接口中的方法net.semanticmetadata.lire.searchers.ImageSearcher: Searches for images similar to the given image.
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.LshImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.LshImageSearcher
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.MetricSpacesImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.MetricSpacesImageSearcher
search(BufferedImage, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.VisualWordsImageSearcher
search(Document, IndexReader) - 类中的方法net.semanticmetadata.lire.searchers.VisualWordsImageSearcher
SearchHitsFilter - net.semanticmetadata.lire.searchers中的接口: Interface for all filters that take a result list and create a new result list.
SearchItemForEvaluation - net.semanticmetadata.lire.searchers.forevaluations中的类: Created by Nektarios on 20/3/2015.
SearchItemForEvaluation(byte[], SimpleResultForEvaluation) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.SearchItemForEvaluation
selectInitialMedians(int) - 类中的方法net.semanticmetadata.lire.classifiers.KMeans
SelfSimilaritiesExtractor - net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities中的类: Implementation based on the paper: Efficient Retrieval of Deformable Shape Classes using Local Self-Similarities Created by Nektarios on 12/1/2015.
SelfSimilaritiesExtractor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesExtractor
SelfSimilaritiesFeature - net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities中的类: Created by Nektarios on 12/1/2015.
SelfSimilaritiesFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
SelfSimilaritiesFeature(double[], double, double, double) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
SelfSimilaritiesOrigExtractor - net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities中的类: Implementation based on the paper: Matching Local Self-Similarities across Images and Videos Created by Nektarios on 12/1/2015.
SelfSimilaritiesOrigExtractor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigExtractor
SelfSimilaritiesOrigFeature - net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities中的类: Created by Nektarios on 12/1/2015.
SelfSimilaritiesOrigFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
SelfSimilaritiesOrigFeature(double[], double, double, double) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
SerializationUtils - net.semanticmetadata.lire.utils中的类: Utility class for serialization issues.
SerializationUtils() - 类的构造器net.semanticmetadata.lire.utils.SerializationUtils
set(double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
set(float, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
setBinCounts(int, int[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: Responsible for setting the Bin Counts in view of the position of the bins.
setBits(int) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling
setBuffer(byte[]) - 类中的方法net.semanticmetadata.lire.indexers.parallel.WorkItem
setBuffer(byte[]) - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.SearchItemForEvaluation
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Gabor
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JCD
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura
setByteArrayRepresentation(byte[]) - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LireFeature: Sets the feature vector values based on the byte[] data.
setByteArrayRepresentation(byte[], int, int) - 接口中的方法net.semanticmetadata.lire.imageanalysis.features.LireFeature: Sets the feature vector values based on the byte[] data.
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
setByteArrayRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature: Reads descriptor from a byte array.
setByteArrayRepresentation(byte[], int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
setByteRepresentation(byte[]) - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
setCustomDocumentBuilder(Class<? extends DocumentBuilder>) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer: WARNING!!
setData(double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature: Casts input to byte[].
setData(double[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
setDistance(double) - 类中的方法net.semanticmetadata.lire.searchers.SimpleResult
setEdgeHistogram() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: In the setEdgeHistogram() method the value for each edgeHistogram bin are quantized by quantization tables.
setFeatureClass(Class) - 类中的方法net.semanticmetadata.lire.indexers.tools.HashingIndexor
setFeatureClass(Class) - 类中的方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
setFieldName(String) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericByteLireFeature
setFieldName(String) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.GenericDoubleLireFeature
setFileList(File) - 类中的方法net.semanticmetadata.lire.indexers.tools.Extractor: Sets the file list for processing.
setFileList(File) - 类中的方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor: Sets the file list for processing.
setFileName(String) - 类中的方法net.semanticmetadata.lire.indexers.parallel.WorkItem
setImagePreprocessor(ImagePreprocessor) - 类中的方法net.semanticmetadata.lire.indexers.parallel.ParallelIndexer
setIndexPath(String) - 类中的方法net.semanticmetadata.lire.indexers.tools.Indexor
setIndexPath(String) - 类中的方法net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
setListOfFeatures(List<? extends LocalFeature>) - 类中的方法net.semanticmetadata.lire.indexers.parallel.WorkItem
setMaxSideLength(int) - 类中的方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor
setNumberOfBitplanesDiscarded(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
setNumberOfCCoeff(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
setNumberOfCoefficients(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
setNumberOfThreads(int) - 类中的静态方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor: Sets the number of consumer threads that are employed for extraction
setNumberOfYCoeff(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
setNumFunctionBundles(int) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling
setNumHashesUsedForQuery(int) - 类中的方法net.semanticmetadata.lire.searchers.MetricSpacesImageSearcher
setOutFile(File) - 类中的方法net.semanticmetadata.lire.indexers.tools.Extractor: Sets the outfile.
setOutFile(File) - 类中的方法net.semanticmetadata.lire.indexers.tools.ParallelExtractor: Sets the outfile.
setStress(double) - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
setStringRepresentation(String) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
setThreshold() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation: If the maximum of the five edge strengths is greater than a threshold, then the image block is considered to have the corresponding edge in it.
setW(double) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.BitSampling
setWeight(float) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.PointMatch
shake(Collection<PointMatch>, float, float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: randomly change the model a bit
estimates the necessary amount of shaking for each single dimensional distance in the set of matches
shake(Collection<PointMatch>, float, float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D: change the model a bit
estimates the necessary amount of shaking for each single dimensional distance in the set of matches
shake(Collection<PointMatch>, float, float[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D: change the model a bit
estimates the necessary amount of shaking for each single dimensional distance in the set of matches
shape - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
SHAPE_CONTEXT_FIELD - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
ShapeContext - net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中的类: Created by Lukas Knoch on 16.09.15.
ShapeContext() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext: needed for instantiation via getInstance()
ShapeContext(double[], double, double) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContext
ShapeContextExtractor - net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中的类: Created by Lukas Knoch on 16.09.15.
ShapeContextExtractor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor
ShapeContextExtractor.Point - net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中的类
ShapeContextExtractor.Utils - net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中的类
ShapemeAggregator - net.semanticmetadata.lire.aggregators中的类: Created by Lukas Knoch on 16.09.15.
ShapemeAggregator() - 类的构造器net.semanticmetadata.lire.aggregators.ShapemeAggregator
ShapemeHistogram - net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中的类: Created by Lukas Knoch on 23.09.15.
ShapemeHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapemeHistogram
SiftExtractor - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类: ...
SiftExtractor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftExtractor
SiftFeature - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类: SIFT feature container
SiftFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature: Dummy constructor for Serialization to work properly.
SiftFeature(float, float, float[], float[]) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
SIGMA - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: sigma of gaussian kernels corresponding to the steps of the octave
the first member is the sigma of the gaussian kernel that is assumed to be the generating kernel of the first gaussian image instance of the octave
SimpleCentrist - net.semanticmetadata.lire.imageanalysis.features.global.centrist中的类: CENTRIST (CENsus TRansform hISTogram) descriptor based on the implementation described in Jianxin Wu; Rehg, J.M., "CENTRIST: A Visual Descriptor for Scene Categorization," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.33, no.8, pp.1489,1501, Aug. 2011, doi: 10.1109/TPAMI.2010.224, http://ieeexplore.ieee.org/stamp/stamp.jsp?
SimpleCentrist() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist
SimpleColorHistogram - net.semanticmetadata.lire.imageanalysis.features.global中的类: This class provides a simple color histogram for content based image retrieval.
SimpleColorHistogram() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram: Default constructor
SimpleColorHistogram(SimpleColorHistogram.HistogramType, SimpleColorHistogram.DistanceFunction) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram: Constructor for selecting different color spaces as well as a different distance function.
SimpleColorHistogram.DistanceFunction - net.semanticmetadata.lire.imageanalysis.features.global中的枚举: Lists distance functions possible for this histogram class
SimpleColorHistogram.HistogramType - net.semanticmetadata.lire.imageanalysis.features.global中的枚举: Lists possible types for the histogram class
SimpleDocumentBuilder - net.semanticmetadata.lire.builders中的类: This class can be used as the LocalDocumentBuilder class, in order to create Lucene Documents according to the SIMPLE model (see features.local.simple package) Created by Nektarios on 03/06/2015.
SimpleDocumentBuilder() - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Cluster[]) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, LinkedList<Cluster[]>) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(ExtractorItem, Cluster[]) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(ExtractorItem, LinkedList<Cluster[]>) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, Cluster[], Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(Class<? extends GlobalFeature>, SimpleExtractor.KeypointDetector, LinkedList<Cluster[]>, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(ExtractorItem, Cluster[], Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
SimpleDocumentBuilder(ExtractorItem, LinkedList<Cluster[]>, Class<? extends AbstractAggregator>) - 类的构造器net.semanticmetadata.lire.builders.SimpleDocumentBuilder
simpleEMD(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils: Earth Mover's Distance for two equal length, equal summed histograms as described in Rubner, Yossi, Carlo Tomasi, and Leonidas J.
SimpleExtractor - net.semanticmetadata.lire.imageanalysis.features.local.simple中的类: Implementation based on the paper "Searching Images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors: The SIMPLE answer to effective Content Based Image Retrieval" Created by mlux on 13/06/2014.
SimpleExtractor(GlobalFeature, SimpleExtractor.KeypointDetector) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
SimpleExtractor(GlobalFeature, SimpleExtractor.KeypointDetector, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor
SimpleExtractor.KeypointDetector - net.semanticmetadata.lire.imageanalysis.features.local.simple中的枚举
SimpleFeature - net.semanticmetadata.lire.imageanalysis.features.local.simple中的类: Created by Nektarios on 25/3/2015.
SimpleFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
SimpleFeature(double[], double, double, double, String, String, Class<? extends GlobalFeature>) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleFeature
SimpleImageDuplicates - net.semanticmetadata.lire.searchers中的类: This class implements the format for returning found duplicates.
SimpleImageDuplicates(List<List<String>>) - 类的构造器net.semanticmetadata.lire.searchers.SimpleImageDuplicates
SimpleImageSearchHits - net.semanticmetadata.lire.searchers中的类: This file is part of the LIRE project: http://www.SemanticMetadata.net
Date: 02.02.2006
Time: 23:56:15
SimpleImageSearchHits(Collection<SimpleResult>, double) - 类的构造器net.semanticmetadata.lire.searchers.SimpleImageSearchHits
SimpleImageSearchHits(Collection<SimpleResult>, double, boolean) - 类的构造器net.semanticmetadata.lire.searchers.SimpleImageSearchHits: Basic constructor to create results.
SimpleResult - net.semanticmetadata.lire.searchers中的类: This file is part of the Caliph and Emir project: http://www.SemanticMetadata.net
Date: 03.02.2006
Time: 00:02:27
SimpleResult(double, int) - 类的构造器net.semanticmetadata.lire.searchers.SimpleResult: Constructor for a result.
simpleResultForEvaluation - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.SearchItemForEvaluation
SimpleResultForEvaluation - net.semanticmetadata.lire.searchers.forevaluations中的类: Created by Nektarios on 11/6/2015.
SimpleResultForEvaluation(double, int, String) - 类的构造器net.semanticmetadata.lire.searchers.forevaluations.SimpleResultForEvaluation
SingleNddCeddImageSearcher - net.semanticmetadata.lire.searchers.custom中的类: A ImageSearcher that retrieves just the first result, caches the whole index and optimizes search time by bundling searches.
SingleNddCeddImageSearcher(IndexReader) - 类的构造器net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher: Creates a new ImageSearcher for searching just one single image based on CEDD from a RAM cached data set.
SingleNddCeddImageSearcher(IndexReader, boolean) - 类的构造器net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher: Creates a new ImageSearcher for searching just one single image based on CEDD from a RAM cached data set.
SingleNddCeddImageSearcher(IndexReader, boolean, Class, String) - 类的构造器net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher: Eventually to be used with other LireFeature classes.
SIZE - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
SIZE3 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram
sizeLeadDiffValue(int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.Tamura: 3.
sorttab - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
SPACC - net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中的类: Created with IntelliJ IDEA.
SPACC() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC
SpatialPyramidCentrist - net.semanticmetadata.lire.imageanalysis.features.global.centrist中的类: CENTRIST (CENsus TRansform hISTogram) descriptor based on the implementation described in Jianxin Wu; Rehg, J.M., "CENTRIST: A Visual Descriptor for Scene Categorization," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.33, no.8, pp.1489,1501, Aug. 2011, doi: 10.1109/TPAMI.2010.224, http://ieeexplore.ieee.org/stamp/stamp.jsp?
SpatialPyramidCentrist() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist
SpatiaWaveletMatrix - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类: The FCTH feature was created, implemented and provided by Savvas A.
SpatiaWaveletMatrix() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.SpatiaWaveletMatrix
SPCEDD - net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中的类: This file is part of LIRE, a Java library for content based image retrieval.
SPCEDD() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD
SPFCTH - net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中的类: This file is part of LIRE, a Java library for content based image retrieval.
SPFCTH() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH
SPJCD - net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中的类: This file is part of LIRE, a Java library for content based image retrieval.
SPJCD() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD
SPLBP - net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中的类: A spatial pyramid version of the rotation invariant local binary pattern feature.
SPLBP() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP
start() - 类中的方法net.semanticmetadata.lire.utils.StopWatch
state - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave
StatsUtils - net.semanticmetadata.lire.utils中的类: ...
StatsUtils() - 类的构造器net.semanticmetadata.lire.utils.StatsUtils
StentifordModel - net.semanticmetadata.lire.imageanalysis.visualattention中的类: Implements a visual attention model described in F.
StentifordModel(int, int, int) - 类的构造器net.semanticmetadata.lire.imageanalysis.visualattention.StentifordModel: Constructor for advance use.
StentifordModel() - 类的构造器net.semanticmetadata.lire.imageanalysis.visualattention.StentifordModel: Default constructor with default values.
step() - 类中的方法net.semanticmetadata.lire.utils.cv.KMeans
STEPS - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: steps per octave
an octave consists of STEPS + 3 images to be
stop() - 类中的方法net.semanticmetadata.lire.utils.StopWatch
StopWatch - net.semanticmetadata.lire.utils中的类: Simple stop watch for taking the time of a process.
StopWatch() - 类的构造器net.semanticmetadata.lire.utils.StopWatch
storedFieldsFormat() - 类中的方法net.semanticmetadata.lire.indexers.LireCustomCodec
subSample(int[], int[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.DecimateDownSampler
subSampleHorizontal(int[], int[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.DecimateDownSampler
subSampleVertical(int[], int[]) - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.DecimateDownSampler
supportsFeature(GlobalFeature) - 类中的静态方法net.semanticmetadata.lire.indexers.hashing.MetricSpaces
supportsScalingFactor(int) - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.DecimateDownSampler
SurfExtractor - net.semanticmetadata.lire.imageanalysis.features.local.surf中的类: Created by Nektarios on 8/6/2015.
SurfExtractor() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfExtractor
SurfFeature - net.semanticmetadata.lire.imageanalysis.features.local.surf中的类: Mathias Lux, mathias@juggle.at Date: 29.09.2010 Time: 15:44:14
SurfFeature(SURFInterestPoint) - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature
SurfFeature() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.surf.SurfFeature

T

tabelle - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
Tamura - net.semanticmetadata.lire.imageanalysis.features.global中的类: Implementation of (three) Tamura features done by Marko Keuschnig & Christian Penz
Changes by Ankit Jain (jankit87@gmail.com): histogram length in set string shen72@users.sourceforge.net: bugfixes in math (casting and brackets) Arthur Lin (applefan99@gmail.com) 2011-05-10: fix to avoid NaN Date: 28.05.2008 Time: 11:52:03
Tamura() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.Tamura
tanimoto(int[], int[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
tanimoto(float[], float[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
tanimoto(double[], double[]) - 类中的静态方法net.semanticmetadata.lire.utils.MetricsUtils
test(Collection<PointMatch>, Collection<PointMatch>, double, double) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: test the model for a set of point correspondence candidates
clears inliers and fills it with the fitting subset of candidates
TextureRules - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
thresholdImage(BufferedImage, int) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Converts an image (RGB, RGBA, ... whatever) to a binary one based on given threshold
TModel2D - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
TModel2D() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
toByteArray(int[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method to transform an int[] array to a byte array for serialization.
toByteArray(float[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a byte array from a float array.
toByteArray(double[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a byte array from a double array.
toBytes(int) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts an int to a byte array with 4 elements.
toBytes(long) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts a long to a byte[] array.
toBytes(float) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts a float to a byte array with 4 elements.
toBytes(double) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts a double to a byte array with 4 elements.
toDouble(float[]) - 类中的静态方法net.semanticmetadata.lire.utils.ConversionUtils: Converts a float array to a double array the "bad way".
toDouble(int[]) - 类中的静态方法net.semanticmetadata.lire.utils.ConversionUtils
toDouble(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts a byte array with 4 elements to a double.
toDoubleArray(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a double array from a byte array.
toDoubleArray(byte[], int, int) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a double array from a byte array.
toDoubleArray(float[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils
toDoubleArray(int[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Create a double[] from an int[]
by patch contributed by Franz Graf, franz.graf@gmail.com
toDoubleArray(String) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Creates a double[] array from a String.
toFloat(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts a byte array with 4 elements to a float.
toFloatArray(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a float array from a byte array.
toFloatArray(byte[], int, int) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method for creating a float array from a byte array.
toHex(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Create a hex string from an array of bytes.
toInt(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts a byte array with 4 elements to an int.
toIntArray(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Convenience method to create an int[] array from a byte[] array.
toIntArray(byte[], int, int) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils
toLong(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: Converts a byte[] array with size 8 to a long.
TopDocsImageSearcher - net.semanticmetadata.lire.searchers.custom中的类: This file is part of the Caliph and Emir project: http://www.SemanticMetadata.net
Date: 01.02.2006
Time: 00:17:02 TODO: revisit for performance, feature caching, etc.
TopDocsImageSearcher(int, Class<?>, String) - 类的构造器net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
toRootSIFT() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature: Method to convert SIFT to RootSIFT as described in Arandjelovic, Relja, and Andrew Zisserman.
toString() - 类中的方法net.semanticmetadata.lire.aggregators.BOVW: Returns the vector representation in string format.
toString() - 类中的方法net.semanticmetadata.lire.aggregators.ShapemeAggregator: Returns the vector representation in string format.
toString() - 类中的方法net.semanticmetadata.lire.aggregators.VLAD: Returns the vector representation in string format.
toString() - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
toString() - 类中的方法net.semanticmetadata.lire.classifiers.Cluster
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.CEDD
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.FCTH
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.PHOG
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftFeature
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfFeature
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesFeature
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities.SelfSimilaritiesOrigFeature
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Point
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.Model: string to output stream
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.SiftFeature
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D
toString() - 类中的方法net.semanticmetadata.lire.imageanalysis.filters.IndexedIntArray
toString() - 类中的方法net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
toString() - 类中的方法net.semanticmetadata.lire.searchers.custom.TopDocsImageSearcher
toString() - 类中的方法net.semanticmetadata.lire.searchers.FastOpponentImageSearcher
toString() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
toString() - 类中的方法net.semanticmetadata.lire.searchers.forevaluations.ImageSearcherUsingWSsForEvaluation
toString() - 类中的方法net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
toString() - 类中的方法net.semanticmetadata.lire.searchers.GenericFastImageSearcher
toString() - 类中的方法net.semanticmetadata.lire.searchers.ImageSearcherUsingWSs
toString(double[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils: A simple string creation method.
toString(byte[]) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils
toTRModel2D() - 类中的方法net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D
transform - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram
trimWhiteSpace(BufferedImage) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Trims the white border around an image.
trimWhiteSpace(BufferedImage, int, int, int, int, int) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils: Trims the white border around an image.
trimWhiteSpace(BufferedImage, BufferedImage, int, int, int, int, int) - 类中的静态方法net.semanticmetadata.lire.utils.ImageUtils
TRModel2D - net.semanticmetadata.lire.imageanalysis.features.local.sift中的类
TRModel2D() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.sift.TRModel2D

U

upsample(FloatArray2D, FloatArray2D) - 类中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave: upsample src by linearly interpolating into dst
For efficiency reasons, the dimensions of dst are not checked, that is, you have to take care, that src.width == dst.width / 2 + dst.width % 2 && src.height == dst.height / 2 + dst.height % 2 .
useSimilarityScore - 类中的变量net.semanticmetadata.lire.searchers.custom.SingleNddCeddImageSearcher
useSimilarityScore - 类中的变量net.semanticmetadata.lire.searchers.forevaluations.GenericFastImageSearcherForEvaluation
useSimilarityScore - 类中的变量net.semanticmetadata.lire.searchers.GenericDocValuesImageSearcher
useSimilarityScore - 类中的变量net.semanticmetadata.lire.searchers.GenericFastImageSearcher
Utils() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Utils

V

v - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram.DctPoint
VActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
ValueActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
ValueActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
ValueActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
ValueActivation - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
ValueMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy10Bin
ValueMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.cedd.Fuzzy24Bin
ValueMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy10Bin
ValueMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.Fuzzy24Bin
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.builders.GlobalDocumentBuilder.HashingMode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram.ExtractionMethod: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram.Mode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram.DistanceFunction: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram.HistogramType: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave.State: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor.KeypointDetector: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法net.semanticmetadata.lire.utils.LuceneUtils.AnalyzerType: 返回带有指定名称的该类型的枚举常量。
values() - 枚举中的静态方法net.semanticmetadata.lire.builders.GlobalDocumentBuilder.HashingMode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram.ExtractionMethod: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram.Mode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram.DistanceFunction: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram.HistogramType: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave.State: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法net.semanticmetadata.lire.imageanalysis.features.local.simple.SimpleExtractor.KeypointDetector: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法net.semanticmetadata.lire.utils.LuceneUtils.AnalyzerType: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
verbose - 类中的静态变量net.semanticmetadata.lire.indexers.tools.Indexor
verbose - 类中的静态变量net.semanticmetadata.lire.indexers.tools.ProximityHashingIndexor
VerticalMembershipValues - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.FuzzyFCTHpart
VisualWordsImageSearcher - net.semanticmetadata.lire.searchers中的类: Provides a general searcher for visual words implementation.
VisualWordsImageSearcher(int, Similarity, String) - 类的构造器net.semanticmetadata.lire.searchers.VisualWordsImageSearcher
VisualWordsImageSearcher(int, String) - 类的构造器net.semanticmetadata.lire.searchers.VisualWordsImageSearcher
VLAD - net.semanticmetadata.lire.aggregators中的类: General class creating vector representations based on VLAD model, given the list of local features and the codebook.
VLAD() - 类的构造器net.semanticmetadata.lire.aggregators.VLAD

W

w - 类中的静态变量net.semanticmetadata.lire.indexers.hashing.BitSampling
WaveletMatrix - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类: The FCTH feature was created, implemented and provided by Savvas A.
WaveletMatrix() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrix
WaveletMatrixPlus - net.semanticmetadata.lire.imageanalysis.features.global.fcth中的类: The FCTH feature was created, implemented and provided by Savvas A.
WaveletMatrixPlus() - 类的构造器net.semanticmetadata.lire.imageanalysis.features.global.fcth.WaveletMatrixPlus
weakCompareAndSet(double, double) - 类中的方法net.semanticmetadata.lire.classifiers.AtomicDouble
weightMatrix - 类中的静态变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl
width - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D
width - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2DScaleOctave
WorkItem - net.semanticmetadata.lire.indexers.parallel中的类: This file is part of LIRE, a Java library for content based image retrieval.
WorkItem(String, byte[]) - 类的构造器net.semanticmetadata.lire.indexers.parallel.WorkItem
WorkItem(String, List<? extends LocalFeature>) - 类的构造器net.semanticmetadata.lire.indexers.parallel.WorkItem
writeClusters(Cluster[], String) - 类中的静态方法net.semanticmetadata.lire.classifiers.Cluster
writeCodeBook(OutputStream, List<double[]>) - 类中的静态方法net.semanticmetadata.lire.utils.SerializationUtils

X

X - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.SpatiaWaveletMatrix
x - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Point

Y

Y - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.SpatiaWaveletMatrix
y - 类中的变量net.semanticmetadata.lire.imageanalysis.features.local.shapecontext.ShapeContextExtractor.Point
YCoeff - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ColorLayoutImpl

Z

Z0 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.SpatiaWaveletMatrix
Z1 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.SpatiaWaveletMatrix
Z2 - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.fcth.SpatiaWaveletMatrix
zipDirectory(File, File, ZipOutputStream) - 类中的静态方法net.semanticmetadata.lire.utils.FileUtils

_

_h_value - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_Quant(int, int, int, int, int) - 类中的方法net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_quant_h - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_quant_s - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_quant_v - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_s_value - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_v_value - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_wholeHist - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_xNumOfBlocks - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_xSize - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_yNumOfBlocks - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl
_ySize - 类中的变量net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.ScalableColorImpl

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