Media tag recommendation technologies
First Claim
Patent Images
1. A method comprising:
- generating, by a computer, a first ranking feature based on a first measure of semantic correlation between a first media collection corresponding to a first tag and a second media collection corresponding to a second tag that co-occurs with the first tag, the first measure based on tag similarity in a semantic domain;
generating, by the computer, a second ranking feature based on a second measure of visual correlation between the first media collection corresponding to the first tag and the second media collection corresponding to the second tag that co-occurs with the first tag, the second measure based on media instance similarity in a visual domain;
combining the first ranking feature and the second ranking feature, where the combined first and second ranking features indicate a relative order between the first tag and the second tag but do not indicate a distance between the first tag and the second tag.
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Abstract
Technologies for recommending relevant tags for the tagging of media based on one or more initial tags provided for the media and based on a large quantity of other tagged media. Sample media as candidates for recommendation are provided by a set of weak rankers based on corresponding relevance measures in semantic and visual domains. The various samples provided by the weak rankers are then ranked based on relative order to provide a list of recommended tags for the media. The weak rankers provide sample tags based on relevance measures including tag co-occurrence, tag content correlation, and image-conditioned tag correlation.
7 Citations
20 Claims
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1. A method comprising:
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generating, by a computer, a first ranking feature based on a first measure of semantic correlation between a first media collection corresponding to a first tag and a second media collection corresponding to a second tag that co-occurs with the first tag, the first measure based on tag similarity in a semantic domain; generating, by the computer, a second ranking feature based on a second measure of visual correlation between the first media collection corresponding to the first tag and the second media collection corresponding to the second tag that co-occurs with the first tag, the second measure based on media instance similarity in a visual domain; combining the first ranking feature and the second ranking feature, where the combined first and second ranking features indicate a relative order between the first tag and the second tag but do not indicate a distance between the first tag and the second tag. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. At least one computer-readable media storing computer-executable instructions that, when executed by a computer, cause the computer to perform a method comprising:
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generating a first ranking feature based on a first measure of semantic correlation between a first media collection corresponding to a first tag and a second media collection corresponding to a second tag that co-occurs with the first tag, the first measure based on tag similarity in a semantic domain; generating a second ranking feature based on a second measure of visual correlation between the first media collection corresponding to the first tag and the second media collection corresponding to the second tag that co-occurs with the first tag, the second measure based on media instance similarity in a visual domain; combining the first ranking feature and the second ranking feature, where the combined first and second ranking features indicate a relative order between the first tag and the second tag but do not indicate a distance between the first tag and the second tag. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method comprising:
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generating, by a computer, a first measure of semantic correlation between a first media collection corresponding to a first tag and a second media collection corresponding to a second tag that co-occurs with the first tag, the first measure based on tag similarity in a semantic domain; generating, by the computer, a second measure of visual correlation between the first media collection corresponding to the first tag and the second media collection corresponding to the second tag that co-occurs with the first tag, the second measure based on media instance similarity in a visual domain; and recommending a co-occurring tag that corresponds to the first tag based on the first measure or the second measure. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification