• DocumentCode
    3433165
  • Title

    Low complexity adaptation of H.264/MPEG-4 SVC for multiple description video coding

  • Author

    Radakovic, Daniela ; Ansari, Rashid ; Yao, Yingwei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2010
  • fDate
    20-22 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The scalable video coding (SVC) extension of the H.264/MPEG-4 AVC standard provides a feature-rich partition of the video that is amenable to multiple description coding (MDC) for transmission over multiple unreliable channels. In this paper we propose a novel low-complexity MDC scheme where we enforce compliance with H.264/MPEG-4 SVC and restrict our processing to the network adaptation layer (NAL) level. In our scheme video is encoded with two spatial and multiple temporal layers. The lower resolution spatial layer is coarsely encoded using a high quantization parameter (QP) value, while the higher resolution spatial layer is encoded with finer QP. The MDC is performed on an already encoded video stream by partitioning the NAL units from the encoded video stream into the two descriptions, where the coarse lower spatial resolution is duplicated in the two descriptions while finely encoded enhancement layer information is symmetrically distributed between the two descriptions. Experimental results show that compared with single description coding (SDC) the performance of proposed scheme results in gains of up to 3 dB.
  • Keywords
    video coding; H.264/MPEG-4 SVC; high quantization parameter; low complexity adaptation; multiple description video coding; scalable video coding; single description coding; Bit rate; Encoding; MIMO; PSNR; Static VAr compensators; Streaming media; Transform coding; Scalable video coding (SVC); multiple description coding (MDC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Days (WD), 2010 IFIP
  • Conference_Location
    Venice
  • ISSN
    2156-9711
  • Print_ISBN
    978-1-4244-9230-5
  • Electronic_ISBN
    2156-9711
  • Type

    conf

  • DOI
    10.1109/WD.2010.5657732
  • Filename
    5657732