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 |
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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PN2020-50 |
Conference Information |
Committee |
PN |
Conference Date |
2021-03-01 - 2021-03-02 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(See Japanese page) |
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Paper Information |
Registration To |
PN |
Conference Code |
2021-03-PN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(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 |
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Muliti-view video |
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1st Author's Name |
Saeko Maeda |
1st Author's Affiliation |
Keio University (Keio Univ.) |
2nd Author's Name |
Yutaka Nasu |
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Keio University (Keio Univ.) |
3rd Author's Name |
Satoru Okamoto |
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Keio University (Keio Univ.) |
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Naoaki Yamanaka |
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Keio University (Keio Univ.) |
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Speaker |
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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 |
#Pages |
7 |
Date of Issue |
2021-02-22 (PN) |
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