Indexing and Retrieval of Human Individuals on Video Data Using Face and Speaker Recognition
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概要
- 論文の詳細を見る
In this paper, we focus on the information retrieval of human individuals who are recorded on the video database. Our purpose is to index persons by their faces or voice and to retrieve their existing time sections on the video data. The database system can track as well as extract a face or voice of a certain person and construct a model of the individual person in self-organization mode. If he appears again at different time, the system can put the mark of the same person to the associated frames. In this way, the same person can be retrieved even if the system does not know his exact name. As the face and speaker modeling, a subspace method is employed to improve the indexing accuracy.
- 一般社団法人映像情報メディア学会の論文
- 1998-01-14
著者
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SUGIYAMA Y.
Department of Physics, Tokyo University of Education
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Nishida M.
Department Of Electronics And Informatics Ryukoku University
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Ishikawa N.
Department of Electronics and Informatics Ryukoku University
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Ariki Y.
Department of Electronics and Informatics Ryukoku University
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Sugiyama Y.
Department Of Electronics And Informatics Ryukoku University
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