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Quality selection for Dynamic Adaptive Streaming over HTTP with Scalable Video Coding

Published:22 February 2012Publication History

ABSTRACT

Video streaming on the Internet is increasingly using Dynamic Adaptive Streaming over HTTP (DASH), which allows a client to dynamically adjust its video quality by choosing the appropriate quality level for each segment based on the current download rate. In this paper we examine the impact of Scalable Video Coding (SVC) on the client's quality selection policy. Given a variable download rate, when should the client try to maximize the current segment's video quality, and when should it instead play it safe and ensure a minimum level of quality for future segments? We use a combination of analysis, dynamic programming, and simulation to show that a client should use a diagonal quality selection policy, which combines prefetching with backfilling to balance both of these concerns. We also illustrate the conditions that affect the slope of the diagonal policy.

References

  1. O. Abboud, T. Zinner, K. Pussep, S. Al-Sabea, and R. Steinmetz. On the Impact of Quality Adaptation in SVC-based P2P Video-on-Demand Systems. ACM Multimedia Systems, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. S. Akhshabi, A. Begen, and C. Dovrolis. An Experimental Evaluation of Rate-Adaptation Algorithms in Adaptive Streaming over HTTP. In ACM Multimedia Systems (MMSys), 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. T. Andelin, V. Chetty, D. Harbaugh, S. Warnick, and D. Zappala. Quality Selection for Dynamic Adaptive Streaming over HTTP with Scalable Video Coding. Technical Report 2, Internet Research Lab, Brigham Young University, 2011.Google ScholarGoogle Scholar
  4. A. Fecheyr-Lippens. A Review of HTTP Live Streaming. http://andrewsblog.org/a-review-of-http-live-streaming, 2010.Google ScholarGoogle Scholar
  5. W. Li. Overview of Fine Granularity Scalability in MPEG-4 Video Standard. IEEE Transactions on Circuits and Systems for Video Technology, 11(3):301--317, March 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. M. Mathis, J. Semke, J. Mahdavi, and T. Ott. The Macroscopic Behavior of the TCP Congestion Avoidance Algorithm. SIGCOMM Computer Communication Review, 27:67--82, July 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. J. Norris. Markov Chains. Cambridge Univ Press, 1998.Google ScholarGoogle Scholar
  8. J. Padhye, V. Firoiu, D. Towsley, and J. Kurose. Modeling TCP Throughput: A Simple Model and its Empirical Validation. In ACM SIGCOMM, pages 303--314, New York, NY, USA, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. R. Pantos. HTTP Live Streaming. Internet-Draft draft-pantos-http-live-streaming-05, Internet Engineering Task Force, Nov. 2010. Work in progress.Google ScholarGoogle Scholar
  10. R. Rejaie, M. Handley, and D. Estrin. Layered Quality Adaptation for Internet Video Streaming. IEEE Journal on Selected Areas in Communications, 18(12):2530--2543, dec 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Y. Sánchez de la Fuente, T. Schierl, C. Hellge, T. Wiegand, D. Hong, D. De Vleeschauwer, W. Van Leekwijck, and Y. Le Louédec. iDASH: Improved Dynamic Adaptive Streaming over HTTP using Scalable Video Coding. In ACM Multimedia Systems (MMSys), 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. H. Schwarz, D. Marpe, and T. Wiegand. Overview of the Scalable Video Coding Extension of the H. 264/AVC Standard. IEEE Transactions on Circuits and Systems for Video Technology, 17(9):1103--1120, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. A. Zambelli. IIS Smooth Streaming Technical Overview. Microsoft Corporation, 2009.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    MMSys '12: Proceedings of the 3rd Multimedia Systems Conference
    February 2012
    247 pages
    ISBN:9781450311311
    DOI:10.1145/2155555
    • General Chair:
    • Mark Claypool,
    • Program Chair:
    • Carsten Griwodz

    Copyright © 2012 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 22 February 2012

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