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Supervised Matrix Factorization Hashing for Cross-Modal Retrieval
2016
IEEE Transactions on Image Processing
The target of cross-modal hashing is to embed heterogeneous multimedia data into a common low-dimensional Hamming space, which plays a pivotal part in multimedia retrieval due to the emergence of big multimodal data. Recently, matrix factorization has achieved great success in cross-modal hashing. However, how to effectively use label information and local geometric structure is still a challenging problem for these approaches. To address this issue, we propose a cross-modal hashing method
doi:10.1109/tip.2016.2564638
pmid:27168597
fatcat:ihinkjn3hraj7hljppsqci7pja