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A note on accurate scene segmentation based on the MCMC method using object matching
Yan Song, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an accurate scene segmentation method based on the Markov Chain Monte Carlo (MCMC) algorithm using object matching. In the proposed approach, the SIFT features which are robust to rotation, scale transition and illumination change of the video subjects are calculated. These features can be used to find correspondences between the various video subjects. The proposed method uses these correspondences to calculate a similarity measure between different shots, then extracts the scene boundary candidates using this similarity measure. The real scene boundaries can then be estimated from the scene boundary candidates. Compared to existing MCMC techniques, the proposed makes more effective scene segmentation by focusing on the structure of the video. Experimental results performed by applying the proposed method to actual broadcast programs are shown to verify the effectiveness of the proposed method. Finally, the paper presents a consideration of the features used by the proposed and the conventional scene segmentation methods.
Keyword (in Japanese) (See Japanese page) 
(in English) scene segmentation / Markov Chain Monte Carlo (MCMC) / SIFT / video structures / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2011-02-21 - 2011-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-IE 
Conference Code 2011-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on accurate scene segmentation based on the MCMC method using object matching 
Sub Title (in English)  
Keyword(1) scene segmentation  
Keyword(2) Markov Chain Monte Carlo (MCMC)  
Keyword(3) SIFT  
Keyword(4) video structures  
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1st Author's Name Yan Song  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Takahiro Ogawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Miki Haseyama  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker
Date Time 0000-00-00 00:00:00 
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Registration for IEICE-IE 
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Volume (vol) ITE-35 
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