| Presentation | 2018-06-01 Improving QoE of Viewport Adaptive 360-degree Video Streaming with Machine Learning Xiaolan Jiang, Yi-Han Chiang, Zhi Liu, Yusheng Ji, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Tile-based methodviewport adaptive streaming360-degree videoreinforcement learning |
| Paper # | CQ2018-26 |
| Date of Issue | 2018-05-24 (CQ) |
| Conference Information | |
| Committee | CQ |
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| Conference Date | 2018/5/31(2days) |
| 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. |
| Chair | Takanori Hayashi(Hiroshima Inst. of Tech.) |
| Vice Chair | Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT) |
| Secretary | Hideyuki Shimonishi(NTT) / Jun Okamoto(Keio Univ.) |
| Assistant | Kenko Ota(Nippon Inst. of Tech.) / Norihiro Fukumoto(KDDI Research Inc.) / Ryo Yamamoto(UEC) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality |
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| Language | ENG |
| 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) | |
| Keyword(1) | Tile-based methodviewport adaptive streaming360-degree videoreinforcement learning |
| 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) |
| Date | 2018-06-01 |
| Paper # | CQ2018-26 |
| Volume (vol) | vol.118 |
| Number (no) | CQ-71 |
| Page | pp.pp.49-54(CQ), |
| #Pages | 6 |
| Date of Issue | 2018-05-24 (CQ) |