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Paper Abstract and Keywords
Presentation 2021-03-02 10:00
A Real-Time Multi-Viewpoint Video Distribution Method Using a Dynamic Camera Clustering Method Based on Frame Meta-information
Saeko Maeda, Yutaka Nasu, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2020-50
Abstract (in Japanese) (See Japanese page) 
(in English) With the development of image processing technology, information and communication technology, and the launch of 5G services, various forms of video distribution have been attracting attention. One of them is multi-viewpoint video distribution. As a real-time multi-viewpoint video distribution method, a method in which all the captured images are transmitted to the user and the viewpoint is manually selected has been studied. However, as the number of images increases, the user's viewpoint selection becomes more and more burdensome. In this paper, we propose a preference-adaptive dynamic video distribution service and a search method to reduce the load of user's viewpoint selection by dynamically clustering the video contents and user's requests according to their similarity, and limiting the distribution range by searching only the videos in the clusters that are close to the user's requests.
Keyword (in Japanese) (See Japanese page) 
(in English) Muliti-view video / / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 388, PN2020-50, pp. 51-57, March 2021.
Paper # PN2020-50 
Date of Issue 2021-02-22 (PN) 
ISSN Online edition: ISSN 2432-6380
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 PN  
Conference Date 2021-03-01 - 2021-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PN 
Conference Code 2021-03-PN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Real-Time Multi-Viewpoint Video Distribution Method Using a Dynamic Camera Clustering Method Based on Frame Meta-information 
Sub Title (in English)  
Keyword(1) Muliti-view video  
1st Author's Name Saeko Maeda  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Yutaka Nasu  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Satoru Okamoto  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Naoaki Yamanaka  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2021-03-02 10:00:00 
Presentation Time 25 minutes 
Registration for PN 
Paper # PN2020-50 
Volume (vol) vol.120 
Number (no) no.388 
Page pp.51-57 
Date of Issue 2021-02-22 (PN) 

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