Presentation 2005/12/8
A Study on Music Retrieval System for Video
Norimitsu YAGURA, Yoshinobu KAJIKAWA, Yasuo NOMURA,
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Abstract(in English) In this paper, we propose a music retrieval system for video. We construct the system by using a similar video retrieval technique because we think that a music matched to a video is the same as that attached to the corresponding movie. The proposed system consists of the similar video retrieval part, automatic indexing part, and user decision feedback part. The automatic indexing part is required in order to avoid subjective evaluations when registering a new movie. The user decision feedback part works to adapt user preference. Some subjective evaluation experiments demonstrate the effectiveness of the proposed retrieval system.
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Keyword(in English) Similarity Video Retrieval System / Semantic Differential Method / Factor Analysis / Neural Network
Paper # HIP2005-99
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Conference Date 2005/12/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Music Retrieval System for Video
Sub Title (in English)
Keyword(1) Similarity Video Retrieval System
Keyword(2) Semantic Differential Method
Keyword(3) Factor Analysis
Keyword(4) Neural Network
1st Author's Name Norimitsu YAGURA
1st Author's Affiliation Faculty of Engineering, Kansai University()
2nd Author's Name Yoshinobu KAJIKAWA
2nd Author's Affiliation Faculty of Engineering, Kansai University
3rd Author's Name Yasuo NOMURA
3rd Author's Affiliation Faculty of Engineering, Kansai University
Date 2005/12/8
Paper # HIP2005-99
Volume (vol) vol.105
Number (no) 479
Page pp.pp.-
#Pages 6
Date of Issue