Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval

@article{Wang2016MultimodalDB,
  title={Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval},
  author={Di Wang and Xinbo Gao and Xiumei Wang and Lihuo He and Bo Yuan},
  journal={IEEE Transactions on Image Processing},
  year={2016},
  volume={25},
  pages={4540-4554}
}
Multimodal hashing, which conducts effective and efficient nearest neighbor search across heterogeneous data on large-scale multimedia databases, has been attracting increasing interest, given the explosive growth of multimedia content on the Internet. Recent multimodal hashing research mainly aims at learning the compact binary codes to preserve semantic information given by labels. The overwhelming majority of these methods are similarity preserving approaches which approximate pairwise… CONTINUE READING

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