Statistical models for automatic video annotation and retrieval

  title={Statistical models for automatic video annotation and retrieval},
  author={Victor Lavrenko and Shaolei Feng and R. Manmatha},
  journal={2004 IEEE International Conference on Acoustics, Speech, and Signal Processing},
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… CONTINUE READING
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