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Paper Abstract and Keywords
Presentation 2017-10-12 14:30
[Short Paper] Research of Automatic Scene Segmentation for Video Summary Generation based on Deep Learning
Yuki Futami, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) PRMU2017-78
Abstract (in Japanese) (See Japanese page) 
(in English) Huge amount of video contents are handled routinely.
The video is divided into scenes that consists of semantic clusters and, it becomes larger the necessity to present the scene user wants from the huge amount of videos.
In recent years, the efficacy of deep learning in image recognition has been shown.The purpose of this study was automatic segmentation of scenes based on deep learning, and to generate summary sentences of divided scenes.
In the first step, shots of videos are segmented.
In this paper, we propose the extraction method of shot points by comparing the similarity of the images based on feature vector extracted by CNN
Experimental results using a plurality of video contents have shown the effectiveness of the proposed method
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Shot Detection / Scene Segmentation / Convolutional Neural Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 238, PRMU2017-78, pp. 91-92, Oct. 2017.
Paper # PRMU2017-78 
Date of Issue 2017-10-05 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee PRMU  
Conference Date 2017-10-12 - 2017-10-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2017-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research of Automatic Scene Segmentation for Video Summary Generation based on Deep Learning 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Shot Detection  
Keyword(3) Scene Segmentation  
Keyword(4) Convolutional Neural Network  
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1st Author's Name Yuki Futami  
1st Author's Affiliation Kagoshima University (Kagoshima Univ.)
2nd Author's Name Masayuki Kashima  
2nd Author's Affiliation Kagoshima University (Kagoshima Univ.)
3rd Author's Name Shinya Fukumoto  
3rd Author's Affiliation Kagoshima University (Kagoshima Univ.)
4th Author's Name Kiminori Sato  
4th Author's Affiliation Kagoshima University (Kagoshima Univ.)
5th Author's Name Mutsumi Watanabe  
5th Author's Affiliation Kagoshima University (Kagoshima Univ.)
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Speaker Author-1 
Date Time 2017-10-12 14:30:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2017-78 
Volume (vol) vol.117 
Number (no) no.238 
Page pp.91-92 
#Pages
Date of Issue 2017-10-05 (PRMU) 


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