net.semanticmetadata.lire.imageanalysis.features

接口 LireFeature

所有超级接口:

FeatureVector

所有已知子接口:

GlobalFeature, LocalFeature

所有已知实现类:

AutoColorCorrelogram, BinaryPatternsPyramid, CEDD, ColorLayout, CvSiftFeature, CvSurfFeature, EdgeHistogram, FCTH, FuzzyColorHistogram, FuzzyOpponentHistogram, Gabor, GenericByteLireFeature, GenericDoubleLireFeature, JCD, JointHistogram, JpegCoefficientHistogram, LocalBinaryPatterns, LocalBinaryPatternsAndOpponent, LuminanceLayout, OpponentHistogram, PHOG, RankAndOpponent, RotationInvariantLocalBinaryPatterns, ScalableColor, SelfSimilaritiesFeature, SelfSimilaritiesOrigFeature, ShapeContext, ShapemeHistogram, SiftFeature, SimpleCentrist, SimpleColorHistogram, SimpleFeature, SPACC, SpatialPyramidCentrist, SPCEDD, SPFCTH, SPJCD, SPLBP, SurfFeature, Tamura

public interface LireFeature
extends FeatureVector

This is the basic interface for all content based features. Created by mlux on 28/05/2008.

作者:

Mathias Lux, mathias@juggle.at, Nektarios Anagnostopoulos, nek.anag@gmail.com

方法概要

限定符和类型	方法和说明
byte[]	getByteArrayRepresentation() Returns a compact byte[] based representation of the feature vector.
double	getDistance(LireFeature feature) The distance function for this type of feature
java.lang.String	getFeatureName() Gives a descriptive name of the feature, i.e. a name to show up in benchmarks, menus, UIs, etc.
java.lang.String	getFieldName() Returns the preferred field name for indexing.
void	setByteArrayRepresentation(byte[] featureData) Sets the feature vector values based on the byte[] data.
void	setByteArrayRepresentation(byte[] featureData, int offset, int length) Sets the feature vector values based on the byte[] data.

从接口继承的方法 net.semanticmetadata.lire.imageanalysis.features.FeatureVector

getFeatureVector

方法详细资料

getFeatureName

java.lang.String getFeatureName()

Gives a descriptive name of the feature, i.e. a name to show up in benchmarks, menus, UIs, etc.

返回:

the name of the feature.

getFieldName

java.lang.String getFieldName()

Returns the preferred field name for indexing.

返回:

the field name preferred for indexing in a Lucene index.

getByteArrayRepresentation

byte[] getByteArrayRepresentation()

Returns a compact byte[] based representation of the feature vector.

返回:

a compact byte[] array containing the feature vector.

另请参阅:

setByteArrayRepresentation(byte[])

setByteArrayRepresentation

void setByteArrayRepresentation(byte[] featureData)

Sets the feature vector values based on the byte[] data. Use getByteArrayRepresentation() to generate a compatible byte[] array.

参数:

featureData - the byte[] data.

另请参阅:

getByteArrayRepresentation()

setByteArrayRepresentation

void setByteArrayRepresentation(byte[] featureData,
                                int offset,
                                int length)

Sets the feature vector values based on the byte[] data. Use getByteArrayRepresentation() to generate a compatible byte[] array.

参数:

featureData - the byte[] array containing the data.

offset - the offset, i.e. where the feature vector starts.

length - the length of the data representing the feature vector.

另请参阅:

getByteArrayRepresentation()

getDistance

double getDistance(LireFeature feature)

The distance function for this type of feature

参数:

feature - the feature vector to compare the current instance to.

返回:

the distance (or dissimilarity) between the instance and the parameter.