SYSTEM AND METHODS FOR PROVIDING ADAPTIVE MEDIA PROPERTY CLASSIFICATION
First Claim
1. A method of forming a classification chain for a plurality of media entities, the classification chain being adapted to search databases of media entities, the method comprising:
- assigning to each media entity of the plurality of media entities in a data set at least one first class of a plurality of classes, each class of the plurality of classes corresponding to a subset of predetermined perceptual properties, the assigning of the at least one first class being by a first human expert;
processing each media entity of the plurality of media entities in the data set to determine at least one digital signal processing characteristic for each media entity of the plurality of media entities in the data set; and
forming the classification chain for the plurality of media entities in the data set, the classification chain comprising components including the at least one class and the at least one digital signal processing characteristic, the classification chain components forming rules for classifying media entities including the plurality of media entities in the data set and media entities other than the plurality of media entities in the data set.
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Abstract
A system and methods are provided for automatically classifying data according to perceptual properties of the data to form a classification chain that is suited to the searching and sorting of large databases of media entities. During classification, experts assign each media entity in the training data set to one or more classes, with each class corresponding to a given subset of perceptual properties of the data. In conjunction with digital signal processing properties of the data corresponding to the perceptual properties, the classified data is then used to construct an initial classification chain. During operation, when presented with an unclassified entry, the classification chain returns an estimate of the class of the entry, as well as a confidence measure that is proportional to the level of confidence of the class assignment. Over time, as the classification chain evolves, the classification chain becomes more and more effective for quickly characterizing media entities.
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Citations
18 Claims
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1. A method of forming a classification chain for a plurality of media entities, the classification chain being adapted to search databases of media entities, the method comprising:
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assigning to each media entity of the plurality of media entities in a data set at least one first class of a plurality of classes, each class of the plurality of classes corresponding to a subset of predetermined perceptual properties, the assigning of the at least one first class being by a first human expert; processing each media entity of the plurality of media entities in the data set to determine at least one digital signal processing characteristic for each media entity of the plurality of media entities in the data set; and forming the classification chain for the plurality of media entities in the data set, the classification chain comprising components including the at least one class and the at least one digital signal processing characteristic, the classification chain components forming rules for classifying media entities including the plurality of media entities in the data set and media entities other than the plurality of media entities in the data set. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-readable storage medium having stored thereon instructions for forming a classification chain for a plurality of media entities, the classification chain being adapted for searching databases of media entities, the instructions when executed perform the steps of:
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assigning to each media entity of a plurality of media entities in a data set at least one first class of a plurality of classes, each class of the plurality of classes corresponding to a subset of predetermined perceptual properties, the assigning of the at least one first class being by a first human expert; processing each media entity of the plurality of media entities in the data set to determine at least one digital signal processing characteristic for each media entity of the plurality of media entities in the data set; and forming a classification chain for the plurality of media entities in the data set, the classification chain comprising components including the at least one class and the at least one digital signal processing characteristic, the classification chain components forming rules for classifying media entities including the plurality of media entities in the data set and media entities other than the plurality of media entities in the data set. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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Specification