/*
* This file is part of the LIRE project: http://www.semanticmetadata.net/lire
* 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.impl;
import net.semanticmetadata.lire.AbstractImageSearcher;
import net.semanticmetadata.lire.ImageDuplicates;
import net.semanticmetadata.lire.ImageSearchHits;
import net.semanticmetadata.lire.imageanalysis.LireFeature;
import net.semanticmetadata.lire.utils.ImageUtils;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.MultiFields;
import org.apache.lucene.util.Bits;
import java.awt.image.BufferedImage;
import java.io.IOException;
import java.util.TreeSet;
import java.util.logging.Level;
import java.util.logging.Logger;
/**
* This file is part of the Caliph and Emir project: http://www.SemanticMetadata.net
* <br>Date: 01.02.2006
* <br>Time: 00:17:02
*
* @author Mathias Lux, mathias@juggle.at
*/
public class ParallelImageSearcher extends AbstractImageSearcher {
private Logger logger = Logger.getLogger(getClass().getName());
Class<?> descriptorClass;
String fieldName;
private int maxHits = 10;
private TreeSet<SimpleResult>[] parDocs;
public ParallelImageSearcher(int maxHits, Class<?> descriptorClass, String fieldName) {
this.maxHits = maxHits;
this.descriptorClass = descriptorClass;
this.fieldName = fieldName;
}
public ImageSearchHits search(BufferedImage image, IndexReader reader) throws IOException {
throw new UnsupportedOperationException("Not implemented in this searcher");
}
public ImageSearchHits[] search(BufferedImage[] image, IndexReader reader) throws IOException {
logger.finer("Starting extraction.");
LireFeature[] lireFeature = new LireFeature[image.length];
SimpleImageSearchHits[] searchHits = new SimpleImageSearchHits[image.length];
for (int i = 0; i < image.length; i++) {
BufferedImage img = image[i];
try {
lireFeature[i] = (LireFeature) descriptorClass.newInstance();
// Scaling image is especially with the correlogram features very important!
BufferedImage bimg = img;
if (Math.max(img.getHeight(), img.getWidth()) > GenericDocumentBuilder.MAX_IMAGE_DIMENSION) {
bimg = ImageUtils.scaleImage(img, GenericDocumentBuilder.MAX_IMAGE_DIMENSION);
}
lireFeature[i].extract(bimg);
logger.fine("Extraction from image finished");
} catch (InstantiationException e) {
logger.log(Level.SEVERE, "Error instantiating class for generic image searcher: " + e.getMessage());
} catch (IllegalAccessException e) {
logger.log(Level.SEVERE, "Error instantiating class for generic image searcher: " + e.getMessage());
}
}
float[] distance = findSimilar(reader, lireFeature);
for (int i = 0; i < distance.length; i++) {
searchHits[i] = new SimpleImageSearchHits(parDocs[i], distance[i]);
}
return searchHits;
}
public ImageSearchHits[] search(Document[] doc, IndexReader reader) throws IOException {
LireFeature[] lireFeature = new LireFeature[doc.length];
SimpleImageSearchHits[] searchHits = new SimpleImageSearchHits[doc.length];
for (int i = 0; i < doc.length; i++) {
Document doc_ = doc[i];
try {
lireFeature[i] = (LireFeature) descriptorClass.newInstance();
String[] cls = doc_.getValues(fieldName);
if (cls != null && cls.length > 0) {
lireFeature[i].setStringRepresentation(cls[0]);
}
} catch (InstantiationException e) {
logger.log(Level.SEVERE, "Error instantiating class for generic image searcher: " + e.getMessage());
} catch (IllegalAccessException e) {
logger.log(Level.SEVERE, "Error instantiating class for generic image searcher: " + e.getMessage());
}
}
float[] distance = findSimilar(reader, lireFeature);
for (int i = 0; i < distance.length; i++) {
searchHits[i] = new SimpleImageSearchHits(parDocs[i], distance[i]);
}
return searchHits;
}
/**
* @param reader
* @param lireFeature
* @return the maximum distance found for normalizing.
* @throws java.io.IOException
*/
@SuppressWarnings("unchecked")
private float[] findSimilar(IndexReader reader, LireFeature[] lireFeature) throws IOException {
float[] maxDistance = new float[lireFeature.length];
float[] overallMaxDistance = new float[lireFeature.length];
for (int i = 0; i < overallMaxDistance.length; i++) {
overallMaxDistance[i] = -1f;
maxDistance[i] = -1f;
}
parDocs = new TreeSet[lireFeature.length];
for (int i = 0; i < parDocs.length; i++) {
parDocs[i] = new TreeSet<SimpleResult>();
}
// Needed for check whether the document is deleted.
Bits liveDocs = MultiFields.getLiveDocs(reader);
// clear result set ...
int docs = reader.numDocs();
for (int i = 0; i < docs; i++) {
if (reader.hasDeletions() && !liveDocs.get(i)) continue; // if it is deleted, just ignore it.
Document d = reader.document(i);
float[] distance = getDistance(d, lireFeature);
// calculate the overall max distance to normalize score afterwards
for (int j = 0; j < distance.length; j++) {
float f = distance[j];
if (overallMaxDistance[j] < f) {
overallMaxDistance[j] = f;
}
// if it is the first document:
if (maxDistance[j] < 0) {
maxDistance[j] = f;
}
// if the array is not full yet:
if (this.parDocs[j].size() < maxHits) {
this.parDocs[j].add(new SimpleResult(f, d, i));
if (f > maxDistance[j]) {
maxDistance[j] = f;
}
} else if (f < maxDistance[j]) {
// if it is nearer to the sample than at least on of the current set:
// remove the last one ...
this.parDocs[j].remove(this.parDocs[j].last());
// add the new one ...
this.parDocs[j].add(new SimpleResult(f, d, i));
// and set our new distance border ...
maxDistance[j] = this.parDocs[j].last().getDistance();
}
}
}
return maxDistance;
}
private float[] getDistance(Document d, LireFeature[] lireFeature) {
float[] distance = new float[lireFeature.length];
LireFeature lf;
try {
lf = (LireFeature) descriptorClass.newInstance();
String[] cls = d.getValues(fieldName);
if (cls != null && cls.length > 0) {
lf.setStringRepresentation(cls[0]);
for (int i = 0; i < lireFeature.length; i++) {
distance[i] = lireFeature[i].getDistance(lf);
}
} else {
logger.warning("No feature stored in this document!");
}
} catch (InstantiationException e) {
logger.log(Level.SEVERE, "Error instantiating class for generic image searcher: " + e.getMessage());
} catch (IllegalAccessException e) {
logger.log(Level.SEVERE, "Error instantiating class for generic image searcher: " + e.getMessage());
}
return distance;
}
public ImageSearchHits search(Document doc, IndexReader reader) throws IOException {
throw new UnsupportedOperationException("Not implemented in this searcher");
}
public ImageDuplicates findDuplicates(IndexReader reader) throws IOException {
throw new UnsupportedOperationException("Not implemented in this searcher");
}
public String toString() {
return "GenericSearcher using " + descriptorClass.getName();
}
}