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Paper Abstract and Keywords
Presentation 2017-10-19 15:35
Analysis of Relationship between Big Five Model based User Attributes and Camera Selecting Tendency for Multi-camera Videos
Xueting Wang, Yu Enokibori, Takatsugu Hirayama, Kensho Hara, Kenji Mase (Nagoya Univ.) MVE2017-30
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.
It is necessary to provide personal viewing support by automatically
recommending suitable viewpoint sequence when the number of selectable
viewpoints increases.
Some automatic viewpoints recommending methods have been developed by learning
users' viewing records.
Since it is difficult to acquire enough personal viewing records, we consider it
effective to recommend viewpoints based on viewing records of other users with
similar viewing tendency.
Thus, we proposed a group-based recommendation framework.
We first conduct user grouping based
on existing users' viewing records.
We analyze the relationship between user attributes related to viewing including
big five model based personality and each generated group to estimate the member
group using user attributes.
As a result, we can recommend viewpoints even to a new user by a common
recommendation model of the group with similar viewing tendency.
We evaluated the group based recommendation by calculating the recommending
accuracy comparing to the real viewing records.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-view video / viewpoint recommendation / user grouping / soccer game / big five model / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 252, MVE2017-30, pp. 29-34, Oct. 2017.
Paper # MVE2017-30 
Date of Issue 2017-10-12 (MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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 MVE2017-30

Conference Information
Committee MVE  
Conference Date 2017-10-19 - 2017-10-20 
Place (in Japanese) (See Japanese page) 
Place (in English) KitamiInstitute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2017-10-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Relationship between Big Five Model based User Attributes and Camera Selecting Tendency for Multi-camera Videos 
Sub Title (in English)  
Keyword(1) Multi-view video  
Keyword(2) viewpoint recommendation  
Keyword(3) user grouping  
Keyword(4) soccer game  
Keyword(5) big five model  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Xueting Wang  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yu Enokibori  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takatsugu Hirayama  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Kensho Hara  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kenji Mase  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2017-10-19 15:35:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # MVE2017-30 
Volume (vol) vol.117 
Number (no) no.252 
Page pp.29-34 
#Pages 6 
Date of Issue 2017-10-12 (MVE) 

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