Semantics-preserving hashing for cross-view retrieval

@article{Lin2015SemanticspreservingHF,
  title={Semantics-preserving hashing for cross-view retrieval},
  author={Zijia Lin and Guiguang Ding and Mingqing Hu and Jianmin Wang},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={3864-3872}
}
With benefits of low storage costs and high query speeds, hashing methods are widely researched for efficiently retrieving large-scale data, which commonly contains multiple views, e.g. a news report with images, videos and texts. In this paper, we study the problem of cross-view retrieval and propose an effective Semantics-Preserving Hashing method, termed SePH. Given semantic affinities of training data as supervised information, SePH transforms them into a probability distribution and… CONTINUE READING
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Intermedia hashing for large-scale retrieval from heterogeneous data sources

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