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Paper Abstract and Keywords
Presentation 2021-03-08 13:45
Redundant Segment Detection and Removal by Clustering of CNN Features in Sequential Video.
Masashi Nishikawa, Atsuo Yoshitaka (JAIST)
Abstract (in Japanese) (See Japanese page) 
(in English) Video taken by ordinary users are used for a variety of purposes. In particular, video that record the photographer's daily life are used for looking back on personal activities. Since it takes the same amount of time to view a video as it was shot, there are video summarization methods that greatly reduce the viewing time by extracting only the important parts of the video. However, most video summarization methods are limited in video types and there are few effective studies for a long video without cut. In this study, we focus on redundant scenes, by detecting them based on the clustering of CNN features, and propose a method to summarize the video.
Keyword (in Japanese) (See Japanese page) 
(in English) CNN / Video Summarization / Clustering / / / / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 8, AIT2021-71, pp. 149-152, March 2021.
Paper # AIT2021-71 
Date of Issue 2021-03-01 (AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2021-03-08 - 2021-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2021 
Paper Information
Registration To AIT 
Conference Code 2021-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Redundant Segment Detection and Removal by Clustering of CNN Features in Sequential Video. 
Sub Title (in English)  
Keyword(1) CNN  
Keyword(2) Video Summarization  
Keyword(3) Clustering  
1st Author's Name Masashi Nishikawa  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Atsuo Yoshitaka  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Date Time 2021-03-08 13:45:00 
Presentation Time 15 
Registration for AIT 
Paper # AIT2021-71 
Volume (vol) 45 
Number (no) no.8 
Page pp.149-152 
Date of Issue 2021-03-01 (AIT) 

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