de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

Class HSBHistogramQuadraticDistanceFunction

java.lang.Object

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction<NumberVector>

de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction

de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedDistanceFunction

de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction

All Implemented Interfaces:

DistanceFunction<NumberVector>, NumberVectorDistanceFunction<NumberVector>, PrimitiveDistanceFunction<NumberVector>

@Reference(authors="J. R. Smith, S. F. Chang",
           title="VisualSEEk: a fully automated content-based image query system",
           booktitle="Proceedings of the fourth ACM international conference on Multimedia 1997",
           url="http://dx.doi.org/10.1145/244130.244151")
public class HSBHistogramQuadraticDistanceFunction
extends MatrixWeightedDistanceFunction

Distance function for HSB color histograms based on a quadratic form and color similarity. The matrix is filled according to:

VisualSEEk: a fully automated content-based image query system
Smith, J.R. and Chang, S.F.
Proceedings of the fourth ACM international conference on Multimedia 1997

Since:

0.3

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	HSBHistogramQuadraticDistanceFunction.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	BPP_ID Parameter for the kernel dimensionality.

Fields inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedDistanceFunction

weightMatrix

Constructor Summary

Constructors

Constructor and Description
HSBHistogramQuadraticDistanceFunction(int quanth, int quants, int quantb) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
static Matrix	computeWeightMatrix(int quanth, int quants, int quantb) Compute the weight matrix for HSB similarity.
boolean	equals(Object obj)

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.MatrixWeightedDistanceFunction

distance, getInputTypeRestriction

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractNumberVectorDistanceFunction

dimensionality, dimensionality, dimensionality, dimensionality

Methods inherited from class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractPrimitiveDistanceFunction

instantiate, isMetric, isSymmetric

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

instantiate, isMetric, isSymmetric

Field Detail

BPP_ID

public static final OptionID BPP_ID

Parameter for the kernel dimensionality.

Constructor Detail

HSBHistogramQuadraticDistanceFunction

public HSBHistogramQuadraticDistanceFunction(int quanth,
                                     int quants,
                                     int quantb)

Constructor.

Parameters:

quanth - Hue bins

quants - Saturation bins

quantb - Brightness bins

Method Detail

computeWeightMatrix

public static Matrix computeWeightMatrix(int quanth,
                         int quants,
                         int quantb)

Compute the weight matrix for HSB similarity.

Parameters:

quanth - H bins

quants - S bins

quantb - B bins

Returns:

Weight matrix

equals

public boolean equals(Object obj)

Overrides:

equals in class Object