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By Jianmin Li, Zhikun Wang, Xirong Li, Tongchun Xiao, Dong Wang, Wujie Zheng and Bo Zhang

Abstract

In the paper, our video retrieval system is presented. The system acts as a decision support system to help users to find what they want with many analysis and visualization tools provided by the system. It consists of three basic retrieval models which searches shots in text, image and concept space respectively. The results from different modalities are fused to achieve better performance. The relevance shots are shown to users in different threads and expanded in different ways to help users try their best to make correct decision during the retrieval procedure. Categories and Subject Descriptors H.3.3 [INFORMATION STORAGE AND RETRIEVAL]: Information Search and Retrieval- clustering, relevance feedback

Topics: Algorithms, Experimentation. Keywords Concept based search, Multi-modal fusion
Year: 2008
OAI identifier: oai:CiteSeerX.psu:10.1.1.133.9064
Provided by: CiteSeerX
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