Presentation 2001/1/12
Sports Video Indexing by Detecting the Events that Consist Scene : Indexing of golf program
Masato TANIMOTO, Masayuki MUKUNOKI, Katsuo IKEDA,
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Abstract(in English) We propose a method of indexing sports videos independently of camera restrictons. In sports videos, many indexing methods have been proposed for the content-based retrieval, but all of them depend on the camera-angle or camera-change. So they are impossible to be applied to the sports videos that are almost free from their restrictions like golf. First, we devide the scene into events by objects and camerawork, and make a scene-model by the sequence of events. Then, we detect a scene by detecting events from input video. We show the validity on our method through experiments.
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Keyword(in English) Indexing / Sports video / Content-based retrieval
Paper # PRMU2000-169
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Conference Information
Committee PRMU
Conference Date 2001/1/12(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sports Video Indexing by Detecting the Events that Consist Scene : Indexing of golf program
Sub Title (in English)
Keyword(1) Indexing
Keyword(2) Sports video
Keyword(3) Content-based retrieval
1st Author's Name Masato TANIMOTO
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Masayuki MUKUNOKI
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Katsuo IKEDA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2001/1/12
Paper # PRMU2000-169
Volume (vol) vol.100
Number (no) 566
Page pp.pp.-
#Pages 8
Date of Issue