Method and apparatus for ontology-based classification of media content
First Claim
1. A computer program product in a recordable-type computer readable medium for classifying media data comprising:
- first instructions for classifying input media data for later access based on classification in response to receiving the input media data;
second instructions for applying a plurality of classifiers in a hierarchical classification structure to the input media data;
third instructions for generating confidence scores for the plurality of classifiers in the hierarchical classification structure;
fourth instructions for modifying a confidence score automatically for a classifier in the hierarchical classification structure based on a relationship between the classifier and other classifiers in the hierarchical classification structure and the confidence scores of the other classifiers in the hierarchical classification structure, wherein the fourth instructions for modifying the confidence score automatically for a classifier include instructions for applying a confusion factor to the confidence score based on a correspondence between the confidence score and confidence scores of mutually exclusive classifiers in the hierarchical classification structure, and wherein the confusion factor is determined as a function of a difference between the confidence score of the classifier and a maximum confidence score from mutually exclusive classifiers in the hierarchical classification structure;
fifth instructions for generating a representation of the input media data based on the modified confidence score being higher than a predetermined threshold confidence score; and
sixth instruction for storing the generated representation of the input media data.
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Abstract
A method and apparatus for ontology-based classification of media content are provided. With the method and apparatus, initial confidence values of classifiers in a hierarchical classification structure are modified based on relationships between classifiers. A confidence value for a classifier is boosted by a boosting factor based on a correspondence between the confidence value and confidence values of ancestor classifiers in the hierarchical classification structure. A confidence value for a classifier is modified by a confusion factor based on a correspondence between the confidence value of the classifier and the confidence values of mutually exclusive classifiers in the hierarchical classification structure. In this way, a more accurate representation of the actual confidence that media content falls within the classification associated with the classifier is obtained. From this improved classification mechanism, indices for media content may be generated for use in accessing the media content at a later time.
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Citations
9 Claims
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1. A computer program product in a recordable-type computer readable medium for classifying media data comprising:
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first instructions for classifying input media data for later access based on classification in response to receiving the input media data; second instructions for applying a plurality of classifiers in a hierarchical classification structure to the input media data; third instructions for generating confidence scores for the plurality of classifiers in the hierarchical classification structure; fourth instructions for modifying a confidence score automatically for a classifier in the hierarchical classification structure based on a relationship between the classifier and other classifiers in the hierarchical classification structure and the confidence scores of the other classifiers in the hierarchical classification structure, wherein the fourth instructions for modifying the confidence score automatically for a classifier include instructions for applying a confusion factor to the confidence score based on a correspondence between the confidence score and confidence scores of mutually exclusive classifiers in the hierarchical classification structure, and wherein the confusion factor is determined as a function of a difference between the confidence score of the classifier and a maximum confidence score from mutually exclusive classifiers in the hierarchical classification structure; fifth instructions for generating a representation of the input media data based on the modified confidence score being higher than a predetermined threshold confidence score; and sixth instruction for storing the generated representation of the input media data. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An apparatus for classifying media data-comprising:
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means for classifying input media data for later access based on classification in response to receiving the input media data; means for applying a plurality of classifiers in a hierarchical classification structure to the input media data; means for generating confidence scores for the plurality of classifiers in the hierarchical classification structure; means for modifying a confidence score automatically for a classifier in the hierarchical classification structure based on a relationship between the classifier and other classifiers in the hierarchical classification structure and the confidence scores of the other classifiers in the hierarchical classification structure, wherein the fourth instructions for modifying the confidence score automatically for a classifier include instructions for applying a confusion factor to the confidence score based on a correspondence between the confidence score and confidence scores of mutually exclusive classifiers in the hierarchical classification structure, and wherein the confusion factor is determined as a function of a difference between the confidence score of the classifier and a maximum confidence score from mutually exclusive classifiers in the hierarchical classification structure; means for generating a representation of the input media data based on the modified confidence score being higher than a predetermined threshold confidence score; and means for storing the generated representation of the input media data in a storage medium. - View Dependent Claims (8, 9)
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Specification