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Paper Abstract and Keywords
Presentation 2016-03-08 13:00
Viewpoint Recommendation based on Trajectory Distribution of Viewing Target for Soccer Multi-view Video
Xueting Wang, Kensho Hara, Yu Enokibori, Kenji Mase (Nagoya Univ.) IMQ2015-69 IE2015-168 MVE2015-96
Abstract (in Japanese) (See Japanese page) 
(in English) Multi-camera videos taken by plural cameras can provide abundant information
and high flexibility in enhancing viewing experience. A wide range of applications have been developed such as regular TV broadcasting, surveillance system and so on. However, it becomes difficult to choose the most suitable viewpoint for a long time when the number of selectable viewpoints increase. Therefore, it is necessary to support viewing by automatically recommending suitable viewpoint sequence. Through the analysis of users' viewpoint selection records, we find that the trajectory of the main object in the soccer game, the ball, has different distribution from different viewpoint.Therefore, we propose a viewpoint recommending method for a soccer game that we learn from users' editing records using the ball trajectory distribution as the feature vector. We use GMM model and histogram model to represent the ball trajectory distribution and evaluate their performance by comparing the similarity between recommended viewpoints and users' edited records.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-camera video / recommendation / soccer game / trajectory distribution / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 495, MVE2015-96, pp. 235-240, March 2016.
Paper # MVE2015-96 
Date of Issue 2016-02-29 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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)
Download PDF IMQ2015-69 IE2015-168 MVE2015-96

Conference Information
Committee IE IMQ MVE CQ  
Conference Date 2016-03-07 - 2016-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2016-03-IE-IMQ-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Viewpoint Recommendation based on Trajectory Distribution of Viewing Target for Soccer Multi-view Video 
Sub Title (in English)  
Keyword(1) Multi-camera video  
Keyword(2) recommendation  
Keyword(3) soccer game  
Keyword(4) trajectory distribution  
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1st Author's Name Xueting Wang  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Kensho Hara  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Yu Enokibori  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Kenji Mase  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker
Date Time 2016-03-08 13:00:00 
Presentation Time 20 
Registration for MVE 
Paper # IEICE-IMQ2015-69,IEICE-IE2015-168,IEICE-MVE2015-96 
Volume (vol) IEICE-115 
Number (no) no.493(IMQ), no.494(IE), no.495(MVE) 
Page pp.235-240 
#Pages IEICE-6 
Date of Issue IEICE-IMQ-2016-02-29,IEICE-IE-2016-02-29,IEICE-MVE-2016-02-29 


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