/**
    * Copyright (c) 2011, The University of Southampton and the individual contributors.
    * All rights reserved.
    *
    * Redistribution and use in source and binary forms, with or without modification,
    * are permitted provided that the following conditions are met:
    *
    *   * 	Redistributions of source code must retain the above copyright notice,
    * 	this list of conditions and the following disclaimer.
   *
   *   *	Redistributions in binary form must reproduce the above copyright notice,
   * 	this list of conditions and the following disclaimer in the documentation
   * 	and/or other materials provided with the distribution.
   *
   *   *	Neither the name of the University of Southampton nor the names of its
   * 	contributors may be used to endorse or promote products derived from this
   * 	software without specific prior written permission.
   *
   * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
   * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
   * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
   * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
   * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
   * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
   * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
   * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
   * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
   * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
   */
  package org.openimaj.demos;
  
  import java.net.URL;
  
  import org.openimaj.feature.DoubleFV;
  import org.openimaj.feature.DoubleFVComparison;
  import org.openimaj.image.DisplayUtilities;
  import org.openimaj.image.ImageUtilities;
  import org.openimaj.image.MBFImage;
  import org.openimaj.image.colour.ColourSpace;
  import org.openimaj.image.dataset.FlickrImageDataset;
  import org.openimaj.image.pixel.statistics.HistogramModel;
  import org.openimaj.math.geometry.point.Point2d;
  import org.openimaj.math.geometry.transforms.TransformUtilities;
  import org.openimaj.math.matrix.similarity.SimilarityMatrix;
  import org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling;
  import org.openimaj.util.api.auth.DefaultTokenFactory;
  import org.openimaj.util.api.auth.common.FlickrAPIToken;
  import org.openimaj.util.pair.IndependentPair;
  
  public class ImageFeatureMDS {
  	public static void main(String[] args) throws Exception {
  		final FlickrAPIToken token = DefaultTokenFactory.getInstance().getToken(FlickrAPIToken.class);
  		final int numImages = 20;
  
  		final FlickrImageDataset<MBFImage> dataset = FlickrImageDataset.create(ImageUtilities.MBFIMAGE_READER, token,
  				"colorful", numImages);
  
  		dataset.getPhotos().set(1, dataset.getPhoto(0));
  
  		final DoubleFV[] features = new DoubleFV[numImages];
  		for (int i = 0; i < numImages; i++) {
  			features[i] = extractFeature(dataset.get(i));
  		}
  
  		final SimilarityMatrix matrix = new SimilarityMatrix(numImages);
  		for (int i = 0; i < numImages; i++) {
  			matrix.setIndexValue(i, dataset.getID(i));
  			final DoubleFV fi = features[i];
  
  			for (int j = 0; j < numImages; j++) {
  				final DoubleFV fj = features[j];
  
  				matrix.set(i, j, fi.compare(fj, DoubleFVComparison.COSINE_SIM));
  			}
  		}
  
  		System.out.println(matrix);
  
  		final MultidimensionalScaling mds = new MultidimensionalScaling();
  		mds.process(matrix);
  		System.out.println(mds.getPoints());
  
  		final MBFImage img = new MBFImage(1000, 1000, ColourSpace.RGB);
  		for (final IndependentPair<String, Point2d> pt : mds.getPoints()) {
  			// img.drawPoint(pt.getSecondObject(), RGBColour.RED, 3);
  
  			final int idx = dataset.indexOfID(pt.firstObject());
  			final MBFImage thumb = ImageUtilities.readMBF(new URL(dataset.getPhoto(idx).getThumbnailUrl()));
  			img.drawImage(thumb, pt.getSecondObject().transform(TransformUtilities.scaleMatrix(1000, 1000)));
  		}
  		DisplayUtilities.display(img);
  	}
  
  	static DoubleFV extractFeature(MBFImage image) {
  		final HistogramModel model = new HistogramModel(4, 4, 4);
  
  		model.estimateModel(image);
  
  		return model.histogram.normaliseFV();
 	}
 }