Paper Abstract and Keywords |
Presentation |
2018-06-01 12:45
Improving QoE of Viewport Adaptive 360-degree Video Streaming with Machine Learning Xiaolan Jiang, Yi-Han Chiang (NII), Zhi Liu (Shizuoka Univ.), Yusheng Ji (NII) CQ2018-26 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To prevent the delivery of entire 360-degree (or 360) videos from adversely affecting QoE, tile-based viewport adaptive streaming that divides 360 video chunks into tiles and conveys streams with differentiated quality levels to viewport and non-viewport areas has been regarded as a promising solution.
Existing works have been devoted to the design of 1) viewport prediction (VPP) to predict users' viewport orientation due to head movements, and 2) tile bitrate selection (TBS) to determine tile-based bitrates for viewport and non-viewport areas. In this paper, we propose a system to leverage machine learning to tile-based viewport adaptive streaming for 360 videos. In particular, We apply long short term memory (LSTM) model to VPP, and use part of non-viewport areas to help resist prediction errors. In addition, We use real-world traces to train a TBS agent with reinforcement learning to determine tile bitrates for both viewport and non-viewport areas. The simulation results show that our system outperforms the existing scheme in various QoE metrics. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Tile-based method / viewport adaptive streaming / 360-degree video / reinforcement learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 71, CQ2018-26, pp. 49-54, May 2018. |
Paper # |
CQ2018-26 |
Date of Issue |
2018-05-24 (CQ) |
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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CQ2018-26 |
Conference Information |
Committee |
CQ |
Conference Date |
2018-05-31 - 2018-06-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Chiba Univ. Nishi-Chiba Campus, academic link center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Efficiency of Wireless Communications, Wireless Communication Quality, MIMO/Diversity/Multiplexing Techniques, Radio Resource Management, Cross-Layer Techniques, etc. |
Paper Information |
Registration To |
CQ |
Conference Code |
2018-05-CQ |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improving QoE of Viewport Adaptive 360-degree Video Streaming with Machine Learning |
Sub Title (in English) |
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Keyword(1) |
Tile-based method |
Keyword(2) |
viewport adaptive streaming |
Keyword(3) |
360-degree video |
Keyword(4) |
reinforcement learning |
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1st Author's Name |
Xiaolan Jiang |
1st Author's Affiliation |
National Institute of Informatics (NII) |
2nd Author's Name |
Yi-Han Chiang |
2nd Author's Affiliation |
National Institute of Informatics (NII) |
3rd Author's Name |
Zhi Liu |
3rd Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
4th Author's Name |
Yusheng Ji |
4th Author's Affiliation |
National Institute of Informatics (NII) |
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Speaker |
Author-1 |
Date Time |
2018-06-01 12:45:00 |
Presentation Time |
25 minutes |
Registration for |
CQ |
Paper # |
CQ2018-26 |
Volume (vol) |
vol.118 |
Number (no) |
no.71 |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2018-05-24 (CQ) |
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