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Paper Abstract and Keywords
Presentation 2005-06-16 14:40
Classification of Broadcast Video Using Distribution of Identical Video Segment
Fuminori Yamagishi (Tokyo Univ.), Hiroshi Mo, Shin'ichi Satoh, Masao Sakauchi (NII)
Abstract (in Japanese) (See Japanese page) 
(in English) Identical Video Segment Detection, which means detecting all video segments that are repeatedly used in a video database, enables to detect highly notified video segments or to find relations between video footages in the database, and is useful for analysis or data-mining on the video database. In this paper, for making it easy to find out identical video segments or to analyze following to the detection, we prepare the identical frame image matrix, that indicates distribution information of identaical frame images. We generate this identical frame image matrix by using a part of our actual video database, and discuss about it. After that, we also talk about for detecting identical video segments and their classification.
Keyword (in Japanese) (See Japanese page) 
(in English) Identical Video Segment Detection / Large-Scale Broadcast Video Archive / Video Data Mining / / / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 118, PRMU2005-30, pp. 49-53, June 2005.
Paper # PRMU2005-30 
Date of Issue 2005-06-09 (DE, PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU DE  
Conference Date 2005-06-16 - 2005-06-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2005-06-PRMU-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification of Broadcast Video Using Distribution of Identical Video Segment 
Sub Title (in English)  
Keyword(1) Identical Video Segment Detection  
Keyword(2) Large-Scale Broadcast Video Archive  
Keyword(3) Video Data Mining  
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1st Author's Name Fuminori Yamagishi  
1st Author's Affiliation The University of Tokyo (Tokyo Univ.)
2nd Author's Name Hiroshi Mo  
2nd Author's Affiliation National Institute of Informatics (NII)
3rd Author's Name Shin'ichi Satoh  
3rd Author's Affiliation National Institute of Informatics (NII)
4th Author's Name Masao Sakauchi  
4th Author's Affiliation National Institute of Informatics (NII)
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Speaker Author-1 
Date Time 2005-06-16 14:40:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # DE2005-9, PRMU2005-30 
Volume (vol) vol.105 
Number (no) no.116(DE), no.118(PRMU) 
Page pp.49-53 
#Pages
Date of Issue 2005-06-09 (DE, PRMU) 


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