Design of Television Video Retrieval System by Fusion of Multimodal Information
With the rapid development of internet and digital technology, the importance of video data in the network has become increasingly prominent, and users' demand for video retrieval has increased. In view of the limitations of traditional video retrieval methods in mining video content, this paper designs a television video retrieval system that integrates multi-modal information, uses deep learning technology to extract image and text information from video, and establishes a retrieval model for information fusion, and finally establishes a storage server for the fused information to achieve more accurate and comprehensive video retrieval.
multimodal informationtelevision videoretrieval system
万方数据
维普
