Example usage for org.apache.lucene.document StoredField StoredField

Introduction

In this page you can find the example usage for org.apache.lucene.document StoredField StoredField.

Prototype

public StoredField(String name, double value) 

Source Link

Document

Create a stored-only field with the given double value.

Usage

From source file:net.semanticmetadata.lire.impl.SimpleBuilder.java

License:Open Source License

private Field[] useCVSURF(BufferedImage image) {
    ArrayList<Field> fields = new ArrayList<Field>();
    CvSurfExtractor extractor = new CvSurfExtractor();
    LinkedList<CvSurfFeature> descriptors = extractor.computeSurfKeypoints(image);
    CvSurfFeature next;// w  ww  .  j av  a2s .  c o m
    for (Iterator<CvSurfFeature> iterator = descriptors.iterator(); iterator.hasNext();) {
        next = iterator.next();
        lireFeature.extract(ImageUtils.cropImage(image, (int) (next.point[0] - (int) next.size / 2),
                (int) (next.point[1] - (int) next.size / 2), (int) next.size, (int) next.size));
        fields.add(new StoredField(
                DocumentBuilder.FIELD_NAME_SIMPLE + lireFeature.getFieldName() + Detector_CVSURF,
                lireFeature.getByteArrayRepresentation()));
    }
    return fields.toArray(new Field[fields.size()]);
}

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From source file:net.semanticmetadata.lire.impl.SimpleBuilder.java

License:Open Source License

private Field[] useCVSIFT(BufferedImage image) {
    ArrayList<Field> fields = new ArrayList<Field>();
    CvSiftExtractor extractor = new CvSiftExtractor();
    LinkedList<CvSiftFeature> descriptors = extractor.computeSiftKeypoints(image);
    CvSiftFeature next;/* w  ww . j  ava2  s . c  o m*/
    for (Iterator<CvSiftFeature> iterator = descriptors.iterator(); iterator.hasNext();) {
        next = iterator.next();
        lireFeature.extract(ImageUtils.cropImage(image, (int) (next.point[0] - (int) next.size / 2),
                (int) (next.point[1] - (int) next.size / 2), (int) next.size, (int) next.size));
        fields.add(new StoredField(
                DocumentBuilder.FIELD_NAME_SIMPLE + lireFeature.getFieldName() + Detector_CVSIFT,
                lireFeature.getByteArrayRepresentation()));
    }
    return fields.toArray(new Field[fields.size()]);
}

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From source file:net.semanticmetadata.lire.impl.SimpleBuilder.java

License:Open Source License

private Field[] useRandom(BufferedImage image) {
    ArrayList<Field> fields = new ArrayList<Field>();
    //        LinkedList<keypoint> keypointsList = createRndPts(image.getWidth(), image.getHeight(), samples);
    //        keypoint next;
    // opting in for more performance: no "new" for creating key points, no String concat in the loop. (ml)
    int[] myKeypoint = new int[3];
    Random r = new Random();
    String fieldName = DocumentBuilder.FIELD_NAME_SIMPLE + lireFeature.getFieldName() + Detector_RANDOM;
    for (int i = 0; i < samples; i++) {
        createNextRandomPoint(myKeypoint, image.getWidth(), image.getHeight(), r);
        lireFeature.extract(/*w w  w.jav  a 2 s  .  c o  m*/
                ImageUtils.cropImage(image, myKeypoint[0], myKeypoint[1], myKeypoint[2], myKeypoint[2]));
        fields.add(new StoredField(fieldName, lireFeature.getByteArrayRepresentation()));

    }
    //        for (Iterator<keypoint> iterator = keypointsList.iterator(); iterator.hasNext(); ) {
    //            next = iterator.next();
    //            lireFeature.extract(ImageUtils.cropImage(image, (int) (next.X), (int) (next.Y), (int) next.Size, (int) next.Size));
    //            fields.add(new StoredField(DocumentBuilder.FIELD_NAME_SIMPLE + lireFeature.getFieldName() + Detector_RANDOM, lireFeature.getByteArrayRepresentation()));
    //        }
    return fields.toArray(new Field[fields.size()]);
}

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From source file:net.semanticmetadata.lire.impl.SimpleBuilder.java

License:Open Source License

private Field[] useGaussRandom(BufferedImage image) {
    ArrayList<Field> fields = new ArrayList<Field>();
    LinkedList<keypoint> keypointsList = createGaussRndPts(image.getWidth(), image.getHeight(), samples);
    keypoint next;//w w w. ja v a  2 s .  c  o m
    String fieldName = DocumentBuilder.FIELD_NAME_SIMPLE + lireFeature.getFieldName() + Detector_GAUSSRANDOM;
    for (Iterator<keypoint> iterator = keypointsList.iterator(); iterator.hasNext();) {
        next = iterator.next();
        lireFeature.extract(ImageUtils.cropImage(image, (int) (next.X - (next.Size / 2)),
                (int) (next.Y - (next.Size / 2)), (int) next.Size, (int) next.Size));
        fields.add(new StoredField(fieldName, lireFeature.getByteArrayRepresentation()));
    }
    return fields.toArray(new Field[fields.size()]);
}

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From source file:net.semanticmetadata.lire.impl.SurfDocumentBuilder.java

License:Open Source License

public Document createDocument(BufferedImage image, String identifier) {
    Document doc = null;/*from   w  ww.  jav a 2s.  c  o m*/
    Surf s = new Surf(image);
    List<SURFInterestPoint> interestPoints = s.getFreeOrientedInterestPoints();
    doc = new Document();
    for (Iterator<SURFInterestPoint> sipi = interestPoints.iterator(); sipi.hasNext();) {
        SURFInterestPoint sip = sipi.next();
        SurfFeature sf = new SurfFeature(sip);
        doc.add(new StoredField(DocumentBuilder.FIELD_NAME_SURF, sf.getByteArrayRepresentation()));
    }
    if (identifier != null)
        doc.add(new StringField(DocumentBuilder.FIELD_NAME_IDENTIFIER, identifier, Field.Store.YES));
    return doc;
}

---

From source file:net.semanticmetadata.lire.indexers.tools.binary.HashingIndexor.java

License:Open Source License

protected void addToDocument(GlobalFeature feature, Document document, String featureFieldName) {
    // This is for debugging the image features.
    //        try {
    ////            System.out.println(feature.getClass().getName() + " " + document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
    //            LireFeature f1 = feature.getClass().newInstance();
    //            f1.extract(ImageIO.read(new File(document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0])));
    //            float distance = feature.getDistance(f1);
    //            if (distance != 0) {
    //                System.out.println("Extracted:" + java.util.Arrays.toString(f1.getFeatureVector()).replaceAll("\\.0,", "") + "\n" +
    //                        "Data     :" + java.util.Arrays.toString(feature.getFeatureVector()).replaceAll("\\.0,", "") + "\n" +
    //                        "Problem with " + f1.getClass().getName() + " at file " + document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0] + ", distance=" + distance
    //                );
    ////                System.out.println("Problem with " + f1.getClass().getName() + " at file " + document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0] + ", distance=" + distance);
    //            }
    //        } catch (Exception e) {
    //            e.printStackTrace();
    ////  ww w  . j a v a  2  s.c om
    //        }
    if (feature.getClass().getCanonicalName().equals(featureClass.getCanonicalName())) {
        // generate hashes here:
        //            int[] hashes = LocalitySensitiveHashing.generateHashes(feature.getFeatureVector());
        int[] hashes = BitSampling.generateHashes(feature.getFeatureVector());
        //            System.out.println(Arrays.toString(hashes));
        // store hashes in index as terms
        document.add(new TextField(featureFieldName + "_hash", SerializationUtils.arrayToString(hashes),
                Field.Store.YES));
        // add the specific feature
        document.add(new StoredField(featureFieldName, feature.getByteArrayRepresentation()));
    }
    // add the specific feature
    //        document.add(new StoredField(featureFieldName, feature.getByteArrayRepresentation()));
}

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From source file:net.semanticmetadata.lire.indexers.tools.binary.Indexor.java

License:Open Source License

/**
 * Overwrite this method if you want to filter the input, apply hashing, etc.
 *
 * @param feature          the current feature.
 * @param document         the current document.
 * @param featureFieldName the field hashFunctionsFileName of the feature.
 *///from w w w  .  j ava  2 s  .com
protected void addToDocument(GlobalFeature feature, Document document, String featureFieldName) {
    document.add(new StoredField(featureFieldName, feature.getByteArrayRepresentation()));
}

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From source file:net.semanticmetadata.lire.indexers.tools.binary.ProximityHashingIndexor.java

License:Open Source License

/**
 * Overwrite this method if you want to filter the input, apply hashing, etc.
 *
 * @param feature          the current feature.
 * @param document         the current document.
 * @param featureFieldName the field hashFunctionsFileName of the feature.
 *//*  w  ww .  j ava  2 s  . c o m*/
protected void addToDocument(GlobalFeature feature, Document document, String featureFieldName) {
    if (run == 0) {
    } // just count documents
    else if (run == 1) { // Select the representatives ...
        if (representativesID.contains(docCount)
                && feature.getClass().getCanonicalName().equals(featureClass.getCanonicalName())) { // it's a representative.
            // put it into a temporary data structure ...
            representatives.add(feature);
        }
    } else if (run == 2) { // actual hashing: find the nearest representatives and put those as a hash into a document.
        if (feature.getClass().getCanonicalName().equals(featureClass.getCanonicalName())) { // it's a feature to be hashed
            int[] hashes = getHashes(feature);
            document.add(new TextField(featureFieldName + "_hash", createDocumentString(hashes, hashes.length),
                    Field.Store.YES));
            document.add(new TextField(featureFieldName + "_hash_q", createDocumentString(hashes, 10),
                    Field.Store.YES));
        }
        document.add(new StoredField(featureFieldName, feature.getByteArrayRepresentation()));
    }
}

---

From source file:net.semanticmetadata.lire.indexing.tools.HashingIndexor.java

License:Open Source License

protected void addToDocument(LireFeature feature, Document document, String featureFieldName) {
    // This is for debugging the image features.
    //        try {
    ////            System.out.println(feature.getClass().getName() + " " + document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]);
    //            LireFeature f1 = feature.getClass().newInstance();
    //            f1.extract(ImageIO.read(new File(document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0])));
    //            float distance = feature.getDistance(f1);
    //            if (distance != 0) {
    //                System.out.println("Extracted:" + java.util.Arrays.toString(f1.getDoubleHistogram()).replaceAll("\\.0,", "") + "\n" +
    //                        "Data     :" + java.util.Arrays.toString(feature.getDoubleHistogram()).replaceAll("\\.0,", "") + "\n" +
    //                        "Problem with " + f1.getClass().getName() + " at file " + document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0] + ", distance=" + distance
    //                );
    ////                System.out.println("Problem with " + f1.getClass().getName() + " at file " + document.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0] + ", distance=" + distance);
    //            }
    //        } catch (Exception e) {
    //            e.printStackTrace();
    ///*from   w ww  .ja  v  a2  s  .  c o  m*/
    //        }
    if (feature.getClass().getCanonicalName().equals(featureClass.getCanonicalName())) {
        // generate hashes here:
        //            int[] hashes = LocalitySensitiveHashing.generateHashes(feature.getDoubleHistogram());
        int[] hashes = BitSampling.generateHashes(feature.getDoubleHistogram());
        //            System.out.println(Arrays.toString(hashes));
        // store hashes in index as terms
        document.add(new TextField(featureFieldName + "_hash", SerializationUtils.arrayToString(hashes),
                Field.Store.YES));
        // add the specific feature
        document.add(new StoredField(featureFieldName, feature.getByteArrayRepresentation()));
    }
    // add the specific feature
    //        document.add(new StoredField(featureFieldName, feature.getByteArrayRepresentation()));
}

---

From source file:net.semanticmetadata.lire.indexing.tools.Indexor.java

License:Open Source License

/**
 * Overwrite this method if you want to filter the input, apply hashing, etc.
 *
 * @param feature          the current feature.
 * @param document         the current document.
 * @param featureFieldName the field hashFunctionsFileName of the feature.
 *//*from   www . ja v  a2s .c  om*/
protected void addToDocument(LireFeature feature, Document document, String featureFieldName) {
    document.add(new StoredField(featureFieldName, feature.getByteArrayRepresentation()));
}

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