The main idea of cross-modal hashing is to embed heterogeneous multimedia data into common Hamming space. How to effectively exploit the modal semantic information and reduce optimization loss have been a challenging problem for existing cross-modal hashing methods. To address these issues, we ...
Cross-modal hashingDeep fusion networkSemantic reconstructionTwo-step learningSupervised learningExisting cross-modal hashing methods ignore the informative multimodal joint information and cannot fully exploit the semantic labels. In this paper, we propose a deep fused two-step cross-modal hashing (DFTH)...
Hashing learningCross-modal retrievalSemantic similarityShared semanticsMultimedia Systems - In the field of resource retrieval, deep cross-modal retrieval is attracting increasing attention. It has a lower storage capacity and faster retrieval speed. However, most of......