Quality Enhancement of Video Services over QoS Controlled Networks

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Author(s)

    • JEONG Junho
    • Department of Electronic Engineering, Kyunghee University
    • SHIN Jitae
    • the School of Information and Communication Engineering, Sungkyunkwan University

Abstract

In the past, enhancement techniques for the end-to-end quality of a networked application were studied by looking at each individual layer. Examples of such techniques include the error resilience/concealment methods in the application layer, the FEC/ARQ in the transport layer, and the Quality of Service (QoS) techniques in the network layers. However, an integrated approach that would look across all related layers had yet to be investigated. This paper proposes an approach that combines priority-aware video packetization, adaptively used layered FEC, and QoS controlled networks such as IntServ and DifTServ in order to provide an efficient end-to-end quality in layered streaming video. The combination is more efficient in terms of a simple network price mechanism, that is, in getting the best end-to-end quality under a given total cost constraint. Our proposed approach in DiffServ with video packet (VP) data-splitting and layered FEC guarantees minimal service quality in a scalable and cost effective manner without introducing resource reservation. For video, we also propose performance metrics such as corrupted/frozen frame ratio (CFR, FFR). These provide objective metrics like PSNR as well as a measurement for subjective perceptions. Our approach, which combines related layers such as video coding, transport, and network, has yielded results that have proven to be more cost-effective and practical than the supporting network QoS.

Journal

  • IEICE Trans. Commun.

    IEICE Trans. Commun. 86(2), 562-571, 2003-02-01

    The Institute of Electronics, Information and Communication Engineers

References:  16

Cited by:  1

Codes

  • NII Article ID (NAID)
    110003221627
  • NII NACSIS-CAT ID (NCID)
    AA10826261
  • Text Lang
    ENG
  • Article Type
    Journal Article
  • ISSN
    09168516
  • Data Source
    CJP  CJPref  NII-ELS 
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