• DocumentCode
    1221882
  • Title

    No-Reference PSNR Estimation for Quality Monitoring of Motion JPEG2000 Video Over Lossy Packet Networks

  • Author

    Nishikawa, Kiyoshi ; Munadi, Khairul ; Kiya, Hitoshi

  • Author_Institution
    Dept. of Inf. & Commun. Syst. Eng., Tokyo Metropolitan Univ., Tokyo
  • Volume
    10
  • Issue
    4
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    637
  • Lastpage
    645
  • Abstract
    In this paper, we propose a no-reference (NR) method for estimating the degradation of Motion JPEG2000 (MJP2) video due to packet loss. The proposed method estimates the peak signal-to-noise ratio (PSNR) between received MJP2 frames affected by packet loss and the originally encoded frames without having information about the latter. The PSNR of a frame could be estimated in the wavelet domain, namely before the JPEG2000 decoding process, by utilizing adjacent frames that possess similar amounts of wavelet energy. Simulation results showed that the estimated PSNR is very close to the true value obtained by the full-reference calculation. Our method can be used to monitor the video quality in an IP-based transmission of MJP2, as well as for automatic judgment of error control in streaming applications, or in video broadcasting. For example, if the PSNR of a frame does not reach a predefined level, the frame will be rejected before the decoding process or it will be processed by a concealment techniques before being displayed.
  • Keywords
    IP networks; broadcasting; decoding; video coding; video streaming; wavelet transforms; IP-based transmission; JPEG2000 video; PSNR estimation; concealment techniques; decoding process; lossy packet networks; motion quality monitoring; no-reference method; video broadcasting; video streaming; wavelet domain; Broadcasting; Computerized monitoring; Decoding; Degradation; Error correction; Motion estimation; Multimedia communication; PSNR; Streaming media; Wavelet domain; Image communication; JP2; JPEG2000; QoS; no-reference PSNR estimation; video quality monitoring;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/TMM.2008.921849
  • Filename
    4523963