/*
* This file is part of the LIRE project: http://lire-project.net
* LIRE is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* LIRE is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with LIRE; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* We kindly ask you to refer the any or one of the following publications in
* any publication mentioning or employing Lire:
*
* Lux Mathias, Savvas A. Chatzichristofis. Lire: Lucene Image Retrieval -
* An Extensible Java CBIR Library. In proceedings of the 16th ACM International
* Conference on Multimedia, pp. 1085-1088, Vancouver, Canada, 2008
* URL: http://doi.acm.org/10.1145/1459359.1459577
*
* Lux Mathias. Content Based Image Retrieval with LIRE. In proceedings of the
* 19th ACM International Conference on Multimedia, pp. 735-738, Scottsdale,
* Arizona, USA, 2011
* URL: http://dl.acm.org/citation.cfm?id=2072432
*
* Mathias Lux, Oge Marques. Visual Information Retrieval using Java and LIRE
* Morgan & Claypool, 2013
* URL: http://www.morganclaypool.com/doi/abs/10.2200/S00468ED1V01Y201301ICR025
*/
package net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures;
import net.semanticmetadata.lire.builders.DocumentBuilder;
import net.semanticmetadata.lire.imageanalysis.features.LireFeature;
import net.semanticmetadata.lire.imageanalysis.features.LocalFeature;
import net.semanticmetadata.lire.imageanalysis.features.LocalFeatureExtractor;
import net.semanticmetadata.lire.utils.MetricsUtils;
import net.semanticmetadata.lire.utils.SerializationUtils;
import java.awt.image.BufferedImage;
import java.io.Serializable;
/**
* Created by Nektarios on 1/10/2014.
*
* @author Nektarios Anagnostopoulos, nek.anag@gmail.com
*/
public class CvSiftFeature implements Serializable, LocalFeature {
// public float angle;
// public int class_id;
// public int octave;
// public double[] point;
// public float response;
// public float size;
// double[] feature;
private double X = -1, Y = -1;
private double size = -1;
private double[] feature = null;
public CvSiftFeature() {
}
public CvSiftFeature(double X, double Y, double size, double[] feature) {
this.X = X;
this.Y = Y;
this.size = size;
this.feature = feature;
}
public String toString() {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < feature.length; i++) {
sb.append(feature[i]);
sb.append(' ');
}
return sb.toString();
}
public double getDistance(LireFeature f) {
if (!(f instanceof CvSiftFeature)) return -1;
return MetricsUtils.distL2(feature, ((CvSiftFeature) f).feature);
}
public String getStringRepresentation() {
throw new UnsupportedOperationException("Not implemented!");
}
public void setStringRepresentation(String featureVector) {
throw new UnsupportedOperationException("Not implemented!");
}
public void extract(BufferedImage image) {
throw new UnsupportedOperationException("Not implemented!");
}
public byte[] getByteArrayRepresentation() {
return SerializationUtils.toByteArray(feature);
}
public void setByteArrayRepresentation(byte[] in) {
feature = SerializationUtils.toDoubleArray(in);
}
public void setByteArrayRepresentation(byte[] in, int offset, int length) {
feature = SerializationUtils.toDoubleArray(in, offset, length);
}
public double[] getFeatureVector() {
return feature;
}
@Override
public String getFeatureName() {
return "cvSIFT";
}
@Override
public String getFieldName() {
return DocumentBuilder.FIELD_NAME_CVSIFT;
}
@Override
public double getX() {
return X;
}
@Override
public double getY() {
return Y;
}
@Override
public double getSize() {
return size;
}
@Override
public Class<? extends LocalFeatureExtractor> getClassOfExtractor() {
return CvSiftExtractor.class;
}
}