Adaptive rate control for streaming stored fine-grained scalable video

Philippe De Cuetos, Keith W. Ross

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    In this paper we investigate adaptive streaming of stored fine-grained scalable video over a TCP-friendly connection. The goal is to develop low-complexity yet high-performing schemes that adequately adapt to the short- and long-term variations in available bandwidth. We first present a novel framework for low-complexity streaming of fine-grained scalable video over a TCP-friendly connection. In the context of this scheme, and under the assumption of complete knowledge of bandwidth evolution, we derive an optimal policy for a criterion that involves both image quality and quality variability during playback. Based on this ideal optimal policy, we develop a real-time heuristic to stream fine-grained scalable video over the Internet, and we study its performance using real Internet traces. We find that our heuristic policy performs almost as well as the ideal optimal policy for a wide-range of bandwidth scenarios and when run over ordinary TCP the policy is essentially as good as when running the policy over popular TCP-friendly algorithms.

    Original languageEnglish (US)
    Pages3-12
    Number of pages10
    StatePublished - 2002
    EventProceedings of the 12th International Workshop on Network and Operating Systems Support for Digital Audio and Video: NOSSDAV 2002 - Miami, FL, United States
    Duration: May 12 2002May 14 2002

    Other

    OtherProceedings of the 12th International Workshop on Network and Operating Systems Support for Digital Audio and Video: NOSSDAV 2002
    CountryUnited States
    CityMiami, FL
    Period5/12/025/14/02

    Keywords

    • Fine-Grained Scalability
    • Internet video streaming
    • Network-adaptive applications

    ASJC Scopus subject areas

    • Software
    • Media Technology
    • Computer Networks and Communications

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