Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval
IEEE Transactions on Biometrics, Behavior, and Identity Science(2020)
摘要
Cross-modal hashing facilitates mapping of heterogeneous multimedia data into a common Hamming space, which can be utilized for fast and flexible retrieval across different modalities. In this paper, we propose a novel cross-modal hashing architecture-deep neural decoder cross-modal hashing (DNDCMH), which uses a binary vector specifying the presence of certain facial attributes as an input query ...
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关键词
Semantics,Decoding,Image retrieval,Error correction codes,Biometrics (access control),Face,Correlation
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