Unified framework for optimal video streaming

Philippe De Cuetos, Keith W. Ross

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

    Abstract

    We study the problem of how to stream layered video (live and stored) over a lossy packet network in order to optimize the video quality that is rendered at the receiver. We present a unified framework that combines scheduling, FEC error protection, and decoder error concealment. In the context of the unified framework, we study both the case of a channel with perfect state information and the case of a channel with imperfect state information (delayed or lost feedback). We adapt the theory of infinite-horizon, average-reward Markov decision processes (MDPs) with average-cost constraints to the problem. Based on simulations with MPEG-4 FGS video, we show that (1) optimizing together scheduling, FEC error correction and error concealment improves performance significantly and (2) policies with static error protection give near-optimal performance. We also find that degradations in quality for a channel with imperfect state information are small; thus our MDP approach is suitable for networks with long end-to-end delays.

    Original languageEnglish (US)
    Title of host publicationIEEE INFOCOM 2004 - Conference on Computer Communications - Twenty-Third Annual Joint Conference of the IEEE Computer and Communications Societies
    Pages1479-1489
    Number of pages11
    DOIs
    StatePublished - 2004
    EventIEEE INFOCOM 2004 - Conference on Computer Communications - Twenty-Third Annual Joint Conference of the IEEE Computer and Communications Societies - Hongkong, China
    Duration: Mar 7 2004Mar 11 2004

    Publication series

    NameProceedings - IEEE INFOCOM
    Volume3
    ISSN (Print)0743-166X

    Other

    OtherIEEE INFOCOM 2004 - Conference on Computer Communications - Twenty-Third Annual Joint Conference of the IEEE Computer and Communications Societies
    Country/TerritoryChina
    CityHongkong
    Period3/7/043/11/04

    ASJC Scopus subject areas

    • General Computer Science
    • Electrical and Electronic Engineering

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