/*
* 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
*
* Copyright statement:
* --------------------
* (c) 2002-2013 by Mathias Lux (mathias@juggle.at)
* http://www.semanticmetadata.net/lire, http://www.lire-project.net
*/
package net.semanticmetadata.lire.imageanalysis.features;
import net.semanticmetadata.lire.utils.MetricsUtils;
import net.semanticmetadata.lire.utils.SerializationUtils;
/**
* Generic double[] based feature implementation.
* @author Mathias Lux, mathias@juggle.at, 27.09.13 17:00
*/
public class GenericDoubleLireFeature implements LireFeature {
private double[] data = null;
private String featureName = "GenericDoubleFeature";
private String fieldName = "featGenericDouble";
@Override
public String getFeatureName() {
return featureName;
}
@Override
public String getFieldName() {
return fieldName;
}
// @Override
// public void extract(BufferedImage image) {
// throw new UnsupportedOperationException("Extraction not supported.");
// }
@Override
public byte[] getByteArrayRepresentation() {
if (data == null) throw new UnsupportedOperationException("You need to set the histogram first.");
return SerializationUtils.toByteArray(data);
}
@Override
public void setByteArrayRepresentation(byte[] featureData) {
setByteArrayRepresentation(featureData, 0, featureData.length);
}
@Override
public void setByteArrayRepresentation(byte[] featureData, int offset, int length) {
data = SerializationUtils.toDoubleArray(featureData, offset, length);
}
@Override
public double[] getFeatureVector() {
return data;
}
@Override
public double getDistance(LireFeature feature) {
// it is assumed that the histograms are of equal length.
assert(feature.getFeatureVector().length == data.length);
return MetricsUtils.distL2(feature.getFeatureVector(), data);
}
// @Override
// public String getStringRepresentation() {
// if (data == null) throw new UnsupportedOperationException("You need to set the histogram first.");
// return SerializationUtils.toString(data);
// }
//
// @Override
// public void setStringRepresentation(String featureVector) {
// data = SerializationUtils.toDoubleArray(featureVector);
// }
public void setData(double[] data) {
this.data = data;
}
public void setFieldName(String fieldName) {
this.fieldName = fieldName;
}
public void getFeatureName(String featureName) {
this.featureName = featureName;
}
}