接口的使用
net.semanticmetadata.lire.imageanalysis.features.LireFeature

使用LireFeature的程序包

程序包	说明
net.semanticmetadata.lire.imageanalysis.features
net.semanticmetadata.lire.imageanalysis.features.global
net.semanticmetadata.lire.imageanalysis.features.global.centrist
net.semanticmetadata.lire.imageanalysis.features.global.joint
net.semanticmetadata.lire.imageanalysis.features.global.mpeg7
net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid
net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures
net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities	Created by Nektarios Anagnostopoulos on 5/5/2015.
net.semanticmetadata.lire.imageanalysis.features.local.shapecontext
net.semanticmetadata.lire.imageanalysis.features.local.sift
net.semanticmetadata.lire.imageanalysis.features.local.simple
net.semanticmetadata.lire.imageanalysis.features.local.surf
net.semanticmetadata.lire.indexers.parallel
net.semanticmetadata.lire.searchers
net.semanticmetadata.lire.searchers.forevaluations

net.semanticmetadata.lire.imageanalysis.features中LireFeature的使用

net.semanticmetadata.lire.imageanalysis.features中LireFeature的子接口

限定符和类型	接口和说明
interface	GlobalFeature This is the basic interface for all global features.
interface	LocalFeature This is the basic interface for all local features.

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features中的类

限定符和类型	类和说明
class	GenericByteLireFeature Generic double[] based feature implementation.
class	GenericDoubleLireFeature Generic double[] based feature implementation.

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features中的方法

限定符和类型	方法和说明
double	LireFeature.getDistance(LireFeature feature) The distance function for this type of feature
double	GenericDoubleLireFeature.getDistance(LireFeature feature)
double	GenericByteLireFeature.getDistance(LireFeature feature)

net.semanticmetadata.lire.imageanalysis.features.global中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.global中的类

限定符和类型	类和说明
class	AutoColorCorrelogram Feature for the AutoCorrelogram based on color as described in Huang, J.; Kumar, S.
class	BinaryPatternsPyramid 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.
class	CEDD The CEDD feature was created, implemented and provided by Savvas A.
class	ColorLayout Just a wrapper for the use of LireFeature.
class	EdgeHistogram Just a wrapper for the use of LireFeature.
class	FCTH The FCTH feature was created, implemented and provided by Savvas A.
class	FuzzyColorHistogram
class	FuzzyOpponentHistogram 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).
class	Gabor Implementation of a Gabor texture features done by Marko Keuschnig & Christian Penz Fixed 2011-05-10 based on the comments of Arthur Lin.
class	JCD A joint descriptor joining CEDD and FCTH in one histogram.
class	JpegCoefficientHistogram
class	LocalBinaryPatterns A simple implementation of the original local binary pattern texture feature.
class	LuminanceLayout The LuminanceLayout Descriptor is intended for grayscale or B/W images.
class	OpponentHistogram 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).
class	PHOG The PHOG descriptor is described in Anna Bosch, Andrew Zisserman & Xavier Munoz (2007) "Representing shape with a spatial pyramid kernel", CVIR 2007.
class	RotationInvariantLocalBinaryPatterns A simple implementation of the rotation invariant local binary pattern feature.
class	ScalableColor Just a wrapper for the use of LireFeature.
class	SimpleColorHistogram This class provides a simple color histogram for content based image retrieval.
class	Tamura 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

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.global中的方法

限定符和类型	方法和说明
double	Tamura.getDistance(LireFeature feature)
double	SimpleColorHistogram.getDistance(LireFeature vd)
double	RotationInvariantLocalBinaryPatterns.getDistance(LireFeature feature)
double	PHOG.getDistance(LireFeature feature)
double	OpponentHistogram.getDistance(LireFeature feature)
double	LuminanceLayout.getDistance(LireFeature feature)
double	LocalBinaryPatterns.getDistance(LireFeature feature)
double	JpegCoefficientHistogram.getDistance(LireFeature vd)
double	JCD.getDistance(LireFeature vd)
double	Gabor.getDistance(LireFeature vd)
double	FuzzyOpponentHistogram.getDistance(LireFeature feature)
double	FuzzyColorHistogram.getDistance(LireFeature vd)
double	FCTH.getDistance(LireFeature vd)
double	ColorLayout.getDistance(LireFeature descriptor) Compares one descriptor to another.
double	CEDD.getDistance(LireFeature vd)
double	BinaryPatternsPyramid.getDistance(LireFeature feature)
double	AutoColorCorrelogram.getDistance(LireFeature vd)

net.semanticmetadata.lire.imageanalysis.features.global.centrist中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.global.centrist中的类

限定符和类型	类和说明
class	SimpleCentrist 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?
class	SpatialPyramidCentrist 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?

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.global.centrist中的方法

限定符和类型	方法和说明
double	SpatialPyramidCentrist.getDistance(LireFeature feature)
double	SimpleCentrist.getDistance(LireFeature feature)

net.semanticmetadata.lire.imageanalysis.features.global.joint中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.global.joint中的类

限定符和类型	类和说明
class	JointHistogram A simple implementation of a joint histogram combining 64-bin RGB and pixel rank.
class	LocalBinaryPatternsAndOpponent A simple implementation of the rotation invariant local binary pattern feature.
class	RankAndOpponent A simple implementation of a joint opponent histogram combining 64-bin RGB and pixel rank.

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.global.joint中的方法

限定符和类型	方法和说明
double	RankAndOpponent.getDistance(LireFeature feature)
double	LocalBinaryPatternsAndOpponent.getDistance(LireFeature feature)
double	JointHistogram.getDistance(LireFeature feature)

net.semanticmetadata.lire.imageanalysis.features.global.mpeg7中LireFeature的使用

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.global.mpeg7中的方法

限定符和类型	方法和说明
double	ScalableColorImpl.getDistance(LireFeature descriptor) Compares one descriptor to another.
double	EdgeHistogramImplementation.getDistance(LireFeature descriptor) Compares one descriptor to another.

net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中的类

限定符和类型	类和说明
class	SPACC Created with IntelliJ IDEA.
class	SPCEDD This file is part of LIRE, a Java library for content based image retrieval.
class	SPFCTH This file is part of LIRE, a Java library for content based image retrieval.
class	SPJCD This file is part of LIRE, a Java library for content based image retrieval.
class	SPLBP A spatial pyramid version of the rotation invariant local binary pattern feature.

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid中的方法

限定符和类型	方法和说明
double	SPLBP.getDistance(LireFeature feature)
double	SPJCD.getDistance(LireFeature feature)
double	SPFCTH.getDistance(LireFeature feature)
double	SPCEDD.getDistance(LireFeature feature)
double	SPACC.getDistance(LireFeature feature)

net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures中的类

限定符和类型	类和说明
class	CvSiftFeature Created by Nektarios on 1/10/2014.
class	CvSurfFeature Created by Nektarios on 1/10/2014.

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures中的方法

限定符和类型	方法和说明
double	CvSurfFeature.getDistance(LireFeature f)
double	CvSiftFeature.getDistance(LireFeature f)

net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities中的类

限定符和类型	类和说明
class	SelfSimilaritiesFeature Created by Nektarios on 12/1/2015.
class	SelfSimilaritiesOrigFeature Created by Nektarios on 12/1/2015.

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.selfsimilarities中的方法

限定符和类型	方法和说明
double	SelfSimilaritiesOrigFeature.getDistance(LireFeature f)
double	SelfSimilaritiesFeature.getDistance(LireFeature f)

net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中的类

限定符和类型	类和说明
class	ShapeContext Created by Lukas Knoch on 16.09.15.
class	ShapemeHistogram Created by Lukas Knoch on 23.09.15.

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.shapecontext中的方法

限定符和类型	方法和说明
double	ShapemeHistogram.getDistance(LireFeature lireFeature)
double	ShapeContext.getDistance(LireFeature lireFeature)

net.semanticmetadata.lire.imageanalysis.features.local.sift中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.sift中的类

限定符和类型	类和说明
class	SiftFeature SIFT feature container

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.sift中的方法

限定符和类型	方法和说明
double	SiftFeature.getDistance(LireFeature feature)

net.semanticmetadata.lire.imageanalysis.features.local.simple中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.simple中的类

限定符和类型	类和说明
class	SimpleFeature Created by Nektarios on 25/3/2015.

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.simple中的方法

限定符和类型	方法和说明
double	SimpleFeature.getDistance(LireFeature feature)

net.semanticmetadata.lire.imageanalysis.features.local.surf中LireFeature的使用

实现LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.surf中的类

限定符和类型	类和说明
class	SurfFeature Mathias Lux, mathias@juggle.at Date: 29.09.2010 Time: 15:44:14

参数类型为LireFeature的net.semanticmetadata.lire.imageanalysis.features.local.surf中的方法

限定符和类型	方法和说明
double	SurfFeature.getDistance(LireFeature f)

net.semanticmetadata.lire.indexers.parallel中LireFeature的使用

返回LireFeature的net.semanticmetadata.lire.indexers.parallel中的方法

限定符和类型	方法和说明
LireFeature	ExtractorItem.getFeatureInstance()

net.semanticmetadata.lire.searchers中LireFeature的使用

声明为LireFeature的net.semanticmetadata.lire.searchers中的字段

限定符和类型	字段和说明
protected LireFeature	GenericFastImageSearcher.cachedInstance
protected LireFeature	GenericDocValuesImageSearcher.cachedInstance

参数类型为LireFeature的net.semanticmetadata.lire.searchers中的方法

限定符和类型	方法和说明
protected double	ImageSearcherUsingWSs.findSimilar(org.apache.lucene.index.IndexReader reader, LireFeature lireFeature)
protected double	GenericFastImageSearcher.findSimilar(org.apache.lucene.index.IndexReader reader, LireFeature lireFeature)
protected double	GenericDocValuesImageSearcher.findSimilar(LireFeature lireFeature)
protected double	GenericFastImageSearcher.getDistance(org.apache.lucene.document.Document document, LireFeature lireFeature) Main similarity method called for each and every document in the index.

net.semanticmetadata.lire.searchers.forevaluations中LireFeature的使用

声明为LireFeature的net.semanticmetadata.lire.searchers.forevaluations中的字段

限定符和类型	字段和说明
protected LireFeature	GenericFastImageSearcherForEvaluation.cachedInstance

参数类型为LireFeature的net.semanticmetadata.lire.searchers.forevaluations中的方法

限定符和类型	方法和说明
protected double	ImageSearcherUsingWSsForEvaluation.findSimilar(org.apache.lucene.index.IndexReader reader, LireFeature lireFeature)
protected double	GenericFastImageSearcherForEvaluation.findSimilar(org.apache.lucene.index.IndexReader reader, LireFeature lireFeature)
protected double	GenericFastImageSearcherForEvaluation.getDistance(org.apache.lucene.document.Document document, LireFeature lireFeature) Main similarity method called for each and every document in the index.