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Paper Abstract and Keywords
Presentation 2006-07-13 15:30
Detection of frequent shots from video using region-based image similarity measure.
Satoshi Shimada, Yongqing Sun, Masashi Morimoto (NTT)
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a method of detecting frequent shots from video in order to perform effective access interface for video scene. Frequent shots can be obtained by clustering key frame images of each shot. We introduce region-based image similarity measure to realize content-based image clustering. Experimental results show that proposed method can detect frequent shots from various genre video with high accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) browsing / clustering / video retrieval / video segmentation / image similarity / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 155, IE2006-23, pp. 25-30, July 2006.
Paper # IE2006-23 
Date of Issue 2006-07-06 (IE, MVE) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee MVE IE  
Conference Date 2006-07-13 - 2006-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanazawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2006-07-MVE-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of frequent shots from video using region-based image similarity measure. 
Sub Title (in English)  
Keyword(1) browsing  
Keyword(2) clustering  
Keyword(3) video retrieval  
Keyword(4) video segmentation  
Keyword(5) image similarity  
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1st Author's Name Satoshi Shimada  
1st Author's Affiliation NTT (NTT)
2nd Author's Name Yongqing Sun  
2nd Author's Affiliation NTT (NTT)
3rd Author's Name Masashi Morimoto  
3rd Author's Affiliation NTT (NTT)
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Speaker Author-1 
Date Time 2006-07-13 15:30:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IE2006-23, MVE2006-29 
Volume (vol) vol.106 
Number (no) no.155(IE), no.157(MVE) 
Page pp.25-30 
#Pages
Date of Issue 2006-07-06 (IE, MVE) 


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