Multiple Bernoulli relevance models for image and video annotation

@article{Feng2004MultipleBR,
  title={Multiple Bernoulli relevance models for image and video annotation},
  author={Shaolei Feng and R. Manmatha and Victor Lavrenko},
  journal={Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.},
  year={2004},
  volume={2},
  pages={II-II}
}
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval (using one word queries) from images and videos using a multiple Bernoulli relevance model. The model assumes that a training set of images or videos along with keyword annotations is provided. Multiple keywords are provided for an image and the specific correspondence between a keyword and an image is not provided… CONTINUE READING
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