Adaptive rate control for streaming stored fine-grained scalable video

Philippe De Cuetos, Keith Ross

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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)
    Title of host publicationProceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video
    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

    Fingerprint

    Bandwidth
    Internet
    Image quality

    Keywords

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

    ASJC Scopus subject areas

    • Computer Science(all)

    Cite this

    De Cuetos, P., & Ross, K. (2002). Adaptive rate control for streaming stored fine-grained scalable video. In Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video (pp. 3-12)

    Adaptive rate control for streaming stored fine-grained scalable video. / De Cuetos, Philippe; Ross, Keith.

    Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video. 2002. p. 3-12.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    De Cuetos, P & Ross, K 2002, Adaptive rate control for streaming stored fine-grained scalable video. in Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video. pp. 3-12, Proceedings of the 12th International Workshop on Network and Operating Systems Support for Digital Audio and Video: NOSSDAV 2002, Miami, FL, United States, 5/12/02.
    De Cuetos P, Ross K. Adaptive rate control for streaming stored fine-grained scalable video. In Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video. 2002. p. 3-12
    De Cuetos, Philippe ; Ross, Keith. / Adaptive rate control for streaming stored fine-grained scalable video. Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video. 2002. pp. 3-12
    @inproceedings{b4907055af0b43138327eec08e769f8e,
    title = "Adaptive rate control for streaming stored fine-grained scalable video",
    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.",
    keywords = "Fine-Grained Scalability, Internet video streaming, Network-adaptive applications",
    author = "{De Cuetos}, Philippe and Keith Ross",
    year = "2002",
    language = "English (US)",
    pages = "3--12",
    booktitle = "Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video",

    }

    TY - GEN

    T1 - Adaptive rate control for streaming stored fine-grained scalable video

    AU - De Cuetos, Philippe

    AU - Ross, Keith

    PY - 2002

    Y1 - 2002

    N2 - 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.

    AB - 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.

    KW - Fine-Grained Scalability

    KW - Internet video streaming

    KW - Network-adaptive applications

    UR - http://www.scopus.com/inward/record.url?scp=0036377462&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=0036377462&partnerID=8YFLogxK

    M3 - Conference contribution

    AN - SCOPUS:0036377462

    SP - 3

    EP - 12

    BT - Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video

    ER -