Examples with WeightedTag org.vitrivr.cineast.core.data.tag.WeightedTag used on opensource projects

Example 1 with WeightedTag

use of org.vitrivr.cineast.core.data.tag.WeightedTag in project cineast by vitrivr.

the class SegmentTags method getSimilar.

@Override
public List<ScoreElement> getSimilar(String segmentId, ReadableQueryConfig qc) {
    List<Map<String, PrimitiveTypeProvider>> rows = this.selector.getRows("id", new StringTypeProvider(segmentId));
    if (rows.isEmpty()) {
        return Collections.emptyList();
    }
    ArrayList<WeightedTag> wtags = new ArrayList<>(rows.size());
    for (Map<String, PrimitiveTypeProvider> row : rows) {
        wtags.add(new IncompleteTag(row.get("tagid").getString(), "", "", row.get("score").getFloat()));
    }
    return getSimilar(wtags, qc);
}

Example 2 with WeightedTag

use of org.vitrivr.cineast.core.data.tag.WeightedTag in project cineast by vitrivr.

the class SegmentTags method getSimilar.

@Override
public List<ScoreElement> getSimilar(SegmentContainer sc, ReadableQueryConfig qc) {
    List<Tag> tags = sc.getTags();
    if (tags.isEmpty()) {
        return Collections.emptyList();
    }
    ArrayList<WeightedTag> wtags = new ArrayList<>(tags.size());
    for (Tag t : tags) {
        if (t instanceof WeightedTag) {
            wtags.add((WeightedTag) t);
        } else {
            wtags.add(new IncompleteTag(t));
        }
    }
    return getSimilar(wtags, qc);
}

Example 3 with WeightedTag

use of org.vitrivr.cineast.core.data.tag.WeightedTag in project cineast by vitrivr.

the class SegmentTags method getSimilar.

private List<ScoreElement> getSimilar(Iterable<WeightedTag> tags, ReadableQueryConfig qc) {
    ArrayList<String> tagids = new ArrayList<>();
    TObjectFloatHashMap<String> tagWeights = new TObjectFloatHashMap<>();
    float weightSum = 0f;
    /* Sum weights for normalization at a later point*/
    for (WeightedTag wt : tags) {
        tagids.add(wt.getId());
        tagWeights.put(wt.getId(), wt.getWeight());
        if (wt.getWeight() > 1) {
            LOGGER.error("Weight is > 1 -- this makes little sense.");
        }
        weightSum += Math.min(1, wt.getWeight());
    }
    if (tagids.isEmpty() || weightSum <= 0f) {
        return Collections.emptyList();
    }
    /* Retrieve all elements matching the provided ids */
    List<Map<String, PrimitiveTypeProvider>> rows = this.selector.getRows("tagid", tagids.stream().map(StringTypeProvider::new).collect(Collectors.toList()));
    Map<String, TObjectFloatHashMap<String>> maxScoreByTag = new HashMap<>();
    /* Prepare the set of relevant ids (if this entity is used for filtering at a later stage) */
    Set<String> relevant = null;
    if (qc != null && qc.hasRelevantSegmentIds()) {
        relevant = qc.getRelevantSegmentIds();
    }
    /* Iterate over all matches */
    for (Map<String, PrimitiveTypeProvider> row : rows) {
        String segmentId = row.get("id").getString();
        /* Skip segments which are not desired by the query-config */
        if (relevant != null && !relevant.contains(segmentId)) {
            continue;
        }
        String tagid = row.get("tagid").getString();
        float score = row.get("score").getFloat() * (tagWeights.containsKey(tagid) ? tagWeights.get(tagid) : 0f);
        if (score > 1) {
            LOGGER.warn("Score is larger than 1 - this makes little sense");
            score = 1f;
        }
        /* Update maximum score by tag*/
        maxScoreByTag.putIfAbsent(segmentId, new TObjectFloatHashMap<>());
        float prev = maxScoreByTag.get(segmentId).get(tagid);
        if (prev == Constants.DEFAULT_FLOAT_NO_ENTRY_VALUE) {
            maxScoreByTag.get(segmentId).put(tagid, score);
        } else {
            maxScoreByTag.get(segmentId).put(tagid, Math.max(score, prev));
        }
    }
    ArrayList<ScoreElement> _return = new ArrayList<>();
    final float normalizer = weightSum;
    /* per segment, the max score for all tags is summed and divided by the normalizer */
    maxScoreByTag.forEach((segmentId, tagScores) -> _return.add(new SegmentScoreElement(segmentId, MathHelper.sum(tagScores.values()) / normalizer)));
    return _return;
}