• DocumentCode
    3362337
  • Title

    High definition wireless video transmission using Pyramid Vector Quantisation

  • Author

    Bokhari, S.M.M. ; Bull, D.R. ; Nix, A.R.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4433
  • Lastpage
    4436
  • Abstract
    Video Source encoders such as H.264 and VC-1 are in common use today and provide impressive compression performance. These use variable length coding and predictive coding to achieve high compression ratios but as a consequence render the encoded bitstream extremely sensitive to channel errors. In this paper we revisit an alternative technique, Pyramid Vector Quantisation, which generates fixed length codes. Intra mode PVQ is presented as a means of robustly compressing and wirelessly transmitting HD Video. The paper shows that PVQ is an effective codec for indoor wireless transmission of HD video. Comparing the required channel SNR for an H.264 based system with a PVQ based system shows that PVQ can operate at a much lower SNR (with gains of up to 11 dB) while still providing excellent video quality and compression performance.
  • Keywords
    high definition video; variable length codes; vector quantisation; video coding; video streaming; H.264 based system; channel SNR; compression performance; fixed length code; high definition wireless video transmission; indoor wireless transmission; predictive coding; pyramid vector quantisation; variable length coding; video quality; video source encoder; Encoding; Forward error correction; High definition video; PSNR; Resilience; Vector quantization; Wireless communication; Error Resilient Video Coding; High Definition Video Coding; Pyramid Vector Quantisation; Wireless Video Transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653266
  • Filename
    5653266