| Paper: | SS-12.5 | ||
| Session: | Information Fusion for Multimedia Annotation and Retrieval | ||
| Time: | Friday, May 21, 14:08 - 14:25 | ||
| Presentation: | Special Session Lecture | ||
| Topic: | Special Sessions: Information Fusion for Multimedia Annotation and Retrieval | ||
| Title: | STATISTICAL MODELS FOR AUTOMATIC VIDEO ANNOTATION AND RETRIEVAL | ||
| Authors: | V. Lavrenko; University of Massachusetts | ||
| S. L. Feng; University of Massachusetts | |||
| R. Manmatha; University of Massachusetts | |||
| Abstract: | We apply a continuous relevance model (CRM) to the problem of directly retrieving the visual content of videos using text queries. The model computes a joint probability model for image features and words using a training set of annotated images. The model may then be used to annotate unseen test images. The probabilistic annotations are used for retrieval using text queries. We also propose a modified model - the normalized CRM - which substantially improves performance on a subset of the TREC Video dataset. | ||
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