• DocumentCode
    659306
  • Title

    Low-Complexity No-Reference PSNR Estimation for H.264/AVC Encoded Video

  • Author

    Schroeder, Damien ; El Essaili, Ali ; Steinbach, Eckehard ; Staehle, Dirk ; Shehada, M.

  • Author_Institution
    Inst. for Media Technol., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2013
  • fDate
    12-13 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We present a no-reference (NR) PSNR estimation method which is based on only two bitstream features (average bitrate and mean quantization parameter of the I-frames). The low computational complexity of the proposed method makes it suitable for in-network real-time applications. The NR metric achieves a Pearson correlation of 0.99 for individual videos and a RMSE of approximately 1 dB PSNR on average. We additionally investigate the effect of various encoding configurations on the PSNR and show the robustness of our method towards these. Finally, we incorporate the proposed metric into an example application and demonstrate that only a minor performance loss is observed compared to the reference scheme which assumes the availability of true PSNR information.
  • Keywords
    computational complexity; data compression; video coding; H.264/AVC encoded video; I-frames; NR PSNR estimation method; Pearson correlation; RMSE; average bitrate; bitstream features; low computational complexity; low-complexity no-reference PSNR estimation; mean quantization parameter; Bit rate; Correlation; Encoding; Estimation; PSNR; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Packet Video Workshop (PV), 2013 20th International
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/PV.2013.6691445
  • Filename
    6691445