1. Sadaqat U. Rehman , Shanshan Tu , Yongfeng Huang , Obaid U. Rehman . A Benchmark Dataset and Learning High-Level Semantic Embeddings of Multimedia for Cross-Media Retrieval[J]. IEEE Access , 2018 , 7 - 9 . Sadaqat U. Rehman, Shanshan Tu, Yongfeng Huang, Obaid U. Rehman. A Benchmark Dataset and Learning High-Level Semantic Embeddings of Multimedia for Cross-Media Retrieval[J]. IEEE Access,2018,7-9.
2. Yixian Fang , Yuwei Ren , Huaxiang Zhang . Semantic convex matrix factorization for cross-madia retrieval[J]. IET Image Processing. 2019 : 5 - 6 . Yixian Fang, Yuwei Ren, Huaxiang Zhang.Semantic convex matrix factorization for cross-madia retrieval[J]. IET Image Processing. 2019:5-6.
3. Modal-Dependent Retrieval Based on Mid-Level Semantic Enhancement Space
4. Xiang Sean Zhou , T.S. Huang . Unifying Keywords and Visual Contents in Image Retrieval[M] . IEEE Computer Society Press . 2002 : 15-17. Xiang Sean Zhou, T.S. Huang. Unifying Keywords and Visual Contents in Image Retrieval[M]. IEEE Computer Society Press. 2002:15-17.
5. Yunchao Gong , Qifa Ke , Michael Isard , Svetlana Lazebnik . A Multi-View Embedding Space for Modeling Internet Images , Tags, and their Semantics[J]. Computer Vision and Pattern Recognition. 2012 : 11 - 14 . Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik. A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics[J]. Computer Vision and Pattern Recognition. 2012:11-14.