• DocumentCode
    3264504
  • Title

    No-Reference Video Quality Assessment using MPEG analysis

  • Author

    Sogaard, Jacob ; Forchhammer, Soren ; Korhonen, Jari

  • Author_Institution
    DTU Photonics, Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    We present a method for No-Reference (NR) Video Quality Assessment (VQA) for decoded video without access to the bitstream. This is achieved by extracting and pooling features from a NR image quality assessment method used frame by frame. We also present methods to identify the video coding and estimate the video coding parameters for MPEG-2 and H.264/AVC which can be used to improve the VQA. The analysis differs from most other video coding analysis methods since it is without access to the bitstream. The results show that our proposed method is competitive with other recent NR VQA methods for MPEG-2 and H.264/AVC.
  • Keywords
    video coding; H.264/AVC; MPEG analysis; MPEG-2; NR image quality assessment method; NR video quality assessment; VQA; no reference video quality assessment; video coding analysis methods; video coding parameters; video decoding; Databases; Estimation; PSNR; Quality assessment; Quantization (signal); Transform coding; Video coding; H.264/AVC analysis; MPEG-2 analysis; Video quality assessment; no-reference; quantization estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2013
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4799-0292-7
  • Type

    conf

  • DOI
    10.1109/PCS.2013.6737708
  • Filename
    6737708