• DocumentCode
    2822254
  • Title

    A novel video coding scheme for lossy networks with scalable bit-stream

  • Author

    Ahmad, Adnan ; Noor, Huma ; Khan, Nadeem

  • Author_Institution
    Dept. of Comput. Sci., LUMS, Lahore, Pakistan
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel video coding scheme is presented with superior performance against packet losses and hence is suitable for wireless communication compared to standard approaches like scalable video coding. The scheme also offers a better multi- rate video solution by offering multiple options for receiving videos at each sub-rate. The approach is suitable for use on multiple channels as well as on a single channel. The proposed hybrid scheme is innovative in the manner it combines the two standard styles of video coding, namely Scalable video coding and Multiple Description Coding, to provide a scalable bit- stream. The goal is to provide a better overall comprise between quality and resilience over different loss rates than is offered by either of the two separately as the congestion and hence the loss rate may vary with time. The scheme may offer a good potential to cater needs of emerging multimedia applications based on wireless communication and/or ubiquitous computing. Results of the proposed and existing schemes on different packet loss rates are reported in order to evaluate and compare their performances.
  • Keywords
    video coding; video streaming; hybrid scheme; lossy networks; multimedia application; multiple description coding; multirate video solution; packet loss rates; packet losses; scalable bit-stream; scalable video coding; ubiquitous computing; wireless communication; Decoding; Discrete cosine transforms; Encoding; PSNR; Redundancy; Static VAr compensators; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2011 IEEE
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4577-1321-7
  • Electronic_ISBN
    978-1-4577-1320-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2011.6115978
  • Filename
    6115978