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AssigneeInternational Business Machines Corporation
InventorsSankar Basu, Ching-Yung Lin, Milind R. Naphade, John R. Smith, Belle L. Tseng
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Semantic indexing and retrieval of multimedia content requires that the content is sufficiently annotated. However, the great volumes of multimedia data and diversity of labels make annotation a difficult and costly process. Disclosed is an annotation framework in which supervised training with partially labeled data is facilitated using active learning. The system trains a classifier with a small set of labeled data and subsequently updates the classifier by selecting a subset of the available data-set according to optimization criteria. The process results in propagation of labels to unlabeled data and greatly facilitates the user in annotating large amounts of multimedia content.
Method for generating persistent annotations of multimedia content, comprising one or more repetitions of the following steps:
System for generating persistent annotations of multimedia content, comprising:
A computer program product in a computer readable medium for generating persistent annotations of multimedia content, the computer program product comprising instructions for performing one or more repetitions of the following steps:
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