Abstract��In allusion to the complex requirement of query, a new video retrieval model based on multimodal information fusion was brought forward in this paper. It included multi-models like text retrieval, image query, semantic features extraction, and used relational algebra expression to fuse these multimodal information. Experimental results demonstrate that our method could fully utilize the advantages of multimodal information fusion based on relational expression in video retrieval, and achieve good performance on complex semantic video retrieval.
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Jing ZHANG Hui YU. Video retrieval model based on multimodal information fusion. Journal of Computer Applications, 2008, 28(1): 199-201,.
