Presentation 2009-01-12
Automatic correspondence recognition of uploaded video besed on shot boundary ditection using multiple features analysis
Yu Nabeto, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe,
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Abstract(in English) Many videos clustering method are required as video sharing services are being activated. We are studying method of correspondence recognition of video besed on shot boundary ditection method using multiple features analysis and matching image before and behind shot boun dary and compare shots. This paper proposes a method for detecting shot boundary using multiple features analysis and a method for matching shot boundaries of two videos. Using SIFT feature, Intensity Histogram, and Edge volume for shot boundary detection, and Using DP matching for matching shot boundary. In order to show the performance of the proposed method, apply sports, animation, concert videos.
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Keyword(in English) Shot Boundary Detection / Intensity Histogram Analysis / SIFT feature / DP matching / shot
Paper # PRMU2008-196
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Committee PRMU
Conference Date 2009/1/5(1days)
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Paper Information
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) Automatic correspondence recognition of uploaded video besed on shot boundary ditection using multiple features analysis
Sub Title (in English)
Keyword(1) Shot Boundary Detection
Keyword(2) Intensity Histogram Analysis
Keyword(3) SIFT feature
Keyword(4) DP matching
Keyword(5) shot
1st Author's Name Yu Nabeto
1st Author's Affiliation Graduate School of Science and Engineering, Kagoshima University()
2nd Author's Name Masayuki Kashima
2nd Author's Affiliation Graduate School of Science and Engineering, Kagoshima University
3rd Author's Name Kiminori Sato
3rd Author's Affiliation Graduate School of Science and Engineering, Kagoshima University
4th Author's Name Mutsumi Watanabe
4th Author's Affiliation Graduate School of Science and Engineering, Kagoshima University
Date 2009-01-12
Paper # PRMU2008-196
Volume (vol) vol.108
Number (no) 374
Page pp.pp.-
#Pages 6
Date of Issue