ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

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
Download PDF

Conference Information
Committee AIT IIEEJ AS CG-ARTS  
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  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2021-03-08 13:45:00 
Presentation Time 15 minutes 
Registration for AIT 
Paper # AIT2021-71 
Volume (vol) vol.45 
Number (no) no.8 
Page pp.149-152 
#Pages
Date of Issue 2021-03-01 (AIT) 


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan