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A Multi-User 360-Video Streaming System for Wireless Network

Published: 14 November 2019 Publication History

Abstract

With the rapid development of Virtual Reality technology and its hardware, 360-degree video is becoming a new form of media which arouses the interest of public. In the past few years, many 360-degree video delivery schemes are proposed, but there hasn’t been a standard solution which can perfectly overcome the difficulties caused by network latency and bandwidth limit. In this paper, we consider the context of a wireless network consisting of a base station and several users. We proposed a 360-degree video delivery and streaming scheme which serves multiple users simultaneously while optimizing the global bandwidth consumption. The system will predict the head movement of users using machine learning algorithm, and extract the visible portion of the video frame for transmission. The core contribution of the scheme is that it will recognize the conjoint viewport of multiple users, and then optimize the global bandwidth consumption by arranging the transmission of conjoint viewport over the public channel of the wireless network. The results prove that the proposed scheme can effectively reduce global bandwidth consumption of the network with relatively simple configuration.

References

[1]
Yanan Bao, Huasen Wu, Tianxiao Zhang, Albara Ramli, and Xin Liu. 2016. Shooting a Moving Target: Motion-Prediction-Based Transmission for 360-Degree Videos. https://doi.org/10.1109/BigData.2016.7840720
[2]
Xavier Corbillon, Francesca De Simone, and Gwendal Simon. 2017a. 360-Degree Video Head Movement Dataset. 199–204. https://doi.org/10.1145/3083187.3083215
[3]
Xavier Corbillon, Gwendal Simon, Alisa Devlic, and Jacob Chakareski. 2017b. Viewport-Adaptive Navigable 360-Degree Video Delivery. https://doi.org/10.1109/ICC.2017.7996611
[4]
Kuzyakov Evgeny and Pio David. 2015. Under the hood: Building 360 video. Retrieved July 27, 2019 from https://code.facebook.com/posts/1638767863078802/under-the-hood-building-360-video
[5]
Kuzyakov Evgeny and Pio David. 2016. Next-generation video encoding techniques for 360 video and VR. Retrieved July 27, 2019 from https://code.facebook.com/posts/1126354007399553/next-generation-video-encoding-techniques-for-360-video-and-vr/
[6]
Vamsidhar Gaddam, Michael Riegler, Ragnhild Eg, Pal Halvorsen, and Carsten Griwodz. 2016. Tiling in Interactive Panoramic Video: Approaches and Evaluation. IEEE Transactions on Multimedia 18 (09 2016), 1–1. https://doi.org/10.1109/TMM.2016.2586304
[7]
Arnob Ghosh, Vaneet Aggarwal, and Feng Qian. 2017. A Rate Adaptation Algorithm for Tile-based 360-degree Video Streaming. (04 2017).
[8]
Ahmed Hamza and Mohamed Hefeeda. 2016. Adaptive streaming of interactive free viewpoint videos to heterogeneous clients. 1–12. https://doi.org/10.1145/2910017.2910610
[9]
Te-Yuan Huang, Ramesh Johari, Nick McKeown, Matthew Trunnell, and Mark Watson. 2014. A Buffer-based Approach to Rate Adaptation: Evidence from a Large Video Streaming Service. SIGCOMM Comput. Commun. Rev. 44, 4 (Aug. 2014), 187–198. https://doi.org/10.1145/2740070.2626296
[10]
Jiang Junchen, Sekar Vyas, and Zhang Hui. 2014. Improving Fairness, Efficiency, and Stability in HTTP-Based Adaptive Video Streaming With Festive. IEEE/ACM Transactions on Networking 22, 1 (Feb 2014), 326–340. https://doi.org/10.1109/TNET.2013.2291681
[11]
Jean Le Feuvre and Cyril Concolato. 2016. Tiled-based adaptive streaming using MPEG-DASH. 1–3. https://doi.org/10.1145/2910017.2910641
[12]
Feng Qian, Lusheng Ji, Bo Han, and Vijay Gopalakrishnan. 2016. Optimizing 360 video delivery over cellular networks. 1–6. https://doi.org/10.1145/2980055.2980056
[13]
Pengye Xia and Klara Nahrstedt. 2013. Object-level bandwidth adaptation framework for 3D tele-immersive system. 1–6. https://doi.org/10.1109/ICME.2013.6607459

Cited By

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  • (2021)360Cast+: Viewport Adaptive Soft Delivery for 360-Degree VideosIEEE Access10.1109/ACCESS.2021.30670189(52684-52697)Online publication date: 2021

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cover image ACM Conferences
VRCAI '19: Proceedings of the 17th International Conference on Virtual-Reality Continuum and its Applications in Industry
November 2019
354 pages
ISBN:9781450370028
DOI:10.1145/3359997
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 14 November 2019

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Author Tags

  1. 360-degree video
  2. Head movement prediction
  3. Machine learning
  4. Network resource management
  5. Virtual Reality

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  • Refereed limited

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VRCAI '19
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Overall Acceptance Rate 51 of 107 submissions, 48%

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  • (2021)360Cast+: Viewport Adaptive Soft Delivery for 360-Degree VideosIEEE Access10.1109/ACCESS.2021.30670189(52684-52697)Online publication date: 2021

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