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 |
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) |
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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) |
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(See Japanese page) |
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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) |
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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 |
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Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-03-08 13:00:00 |
Presentation Time |
20 minutes |
Registration for |
MVE |
Paper # |
IMQ2015-69, IE2015-168, MVE2015-96 |
Volume (vol) |
vol.115 |
Number (no) |
no.493(IMQ), no.494(IE), no.495(MVE) |
Page |
pp.235-240 |
#Pages |
6 |
Date of Issue |
2016-02-29 (IMQ, IE, MVE) |
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