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A Study of Performance Improvement for Video Retrieval System Based on Relevance Feedback
21st International Conference on Data ...
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Yasuhiko Fujisaki, Tokyo Institute of Technology
Takamichi Miyata, Tokyo Institute of Technology
Aki Kobayashi, Tokyo Institute of Technology
Katsunori Yamaoka, Tokyo Institute of Technology
Yoshinori Sakai, Tokyo Institute of Technology
Yasuhiro Inazumi, Faculty of Engineering, Kanagawa University
Recently, an effective retrieval system for video data based on its content is required. In such system, queries are given by natural video data or drawing sketches. However, preparing natural video data and drawing sketches require high operating costs for users. Therefore, we proposed novel method that uses "Relevance Feedback(RF)" for creating query. RF is an approach that is used in general information retrieval. RF allows us to give a query to the system by simple operation. Then, we performed an experiment to retrieve video data by using the system that uses the method. The experimental results lead us to conclude that the system is effective at reducing a user?s operating costs. Furthermore, we show the future direction for research.
Citation:
Yasuhiko Fujisaki, Takamichi Miyata, Aki Kobayashi, Katsunori Yamaoka, Yoshinori Sakai, Yasuhiro Inazumi, "A Study of Performance Improvement for Video Retrieval System Based on Relevance Feedback," icdew,pp.1234, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005
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