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An HTTP/2-Based Adaptive Streaming Framework for 360° Virtual Reality Videos

Published:19 October 2017Publication History

ABSTRACT

Virtual Reality (VR) devices are becoming accessible to a large public, which is going to increase the demand for 360° VR videos. VR videos are often characterized by a poor quality of experience, due to the high bandwidth required to stream the 360° video. To overcome this issue, we spatially divide the VR video into tiles, so that each temporal segment is composed of several spatial tiles. Only the tiles belonging to the viewport, the region of the video watched by the user, are streamed at the highest quality. The other tiles are instead streamed at a lower quality. We also propose an algorithm to predict the future viewport position and minimize quality transitions during viewport changes. The video is delivered using the server push feature of the HTTP/2 protocol. Instead of retrieving each tile individually, the client issues a single push request to the server, so that all the required tiles are automatically pushed back to back. This approach allows to increase the achieved throughput, especially in mobile, high RTT networks. In this paper, we detail the proposed framework and present a prototype developed to test its performance using real-world 4G bandwidth traces. Particularly, our approach can save bandwidth up to 35% without severely impacting the quality viewed by the user, when compared to a traditional non-tiled VR streaming solution. Moreover, in high RTT conditions, our HTTP/2 approach can reach 3 times the throughput of tiled streaming over HTTP/1.1, and consistently reduce freeze time. These results represent a major improvement for the efficient delivery of 360° VR videos over the Internet.

References

  1. M. Budagavi, J. Furton, G. Jin, A. Saxena, J. Wilkinson, and A. Dickerson. 2015. 360 degrees video coding using region adaptive smoothing 2015 IEEE International Conference on Image Processing (ICIP). 750--754.Google ScholarGoogle Scholar
  2. Wael Cherif, Youenn Fablet, Eric Nassor, Jonathan Taquet, and Yuki Fujimori. 2015. DASH Fast Start Using HTTP/2. In Proceedings of the 25th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV '15). ACM, New York, NY, USA, 25--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Eduardo Cuervo and David Chu. 2016. Poster: Mobile Virtual Reality for Head-mounted Displays With Interactive Streaming Video and Likelihood-based Foveation. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion (MobiSys '16 Companion). ACM, New York, NY, USA, 130--130. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Lucia D'Acunto, Jorrit van den Berg, Emmanuel Thomas, and Omar Niamut. 2016. Using MPEG DASH SRD for Zoomable and Navigable Video Proceedings of the 7th International Conference on Multimedia Systems (MMSys '16). ACM, New York, NY, USA, Article no 34, pages 4 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Facebook. {n. d.}. Next-generation video encoding techniques for 360 video and VR. https://code.facebook.com/posts/1126354007399553/next-generation-video-encoding-techniques-for-360-video-and-vr/. (. {n. d.}).Google ScholarGoogle Scholar
  6. V. R. Gaddam, M. Riegler, R. Eg, C. Griwodz, and P. Halvorsen. 2016. Tiling in Interactive Panoramic Video: Approaches and Evaluation. IEEE Transactions on Multimedia Vol. 18, 9 (Sept. 2016), 1819--1831. 1145/2964284.2964313 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Alireza Zare, Alireza Aminlou, Miska M. Hannuksela, and Moncef Gabbouj. 2016. HEVC-compliant Tile-based Streaming of Panoramic Video for Virtual Reality Applications Proceedings of the 2016 ACM on Multimedia Conference (MM '16). ACM, New York, NY, USA, 601--605. Google ScholarGoogle ScholarDigital LibraryDigital Library

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            cover image ACM Conferences
            MM '17: Proceedings of the 25th ACM international conference on Multimedia
            October 2017
            2028 pages
            ISBN:9781450349062
            DOI:10.1145/3123266

            Copyright © 2017 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 19 October 2017

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            MM '17 Paper Acceptance Rate189of684submissions,28%Overall Acceptance Rate995of4,171submissions,24%

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