• DocumentCode
    2155540
  • Title

    Multiple reference impairment scale subjective assessment method for digital video

  • Author

    Wu, Hong Ren ; Yu, Zherlghua ; Qiu, Bin

  • Author_Institution
    Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    185
  • Abstract
    This paper proposes a novel subjective impairment testing method called multiple references impairment scale (MRIS) method in order to eliminate or minimise the contextual effects and large variance/standard deviation existing in the current subjective video impairment test methods. In MRIS, references using distorted pictures for each impairment level are provided and the subjects are asked to determine the impairment level by comparing the processed picture with the predetermined reference distorted pictures. Therefore the conventional categorical rating task is turned into several pair comparisons, which human subjects are accustomed to. Experiments have been conducted to compare the proposed MRIS method with the DSIS II method; the results reveal that the proposed method has much less variations in the subjective data, does not suffer from contextual effects and is good at differentiating small changes in impairment levels.
  • Keywords
    data compression; testing; video coding; visual communication; digital video; digital video coding systems; multiple references impairment scale; pair comparisons; standard deviation; subjective assessment method; subjective impairment testing; subjective video impairment test; television broadcasting; variance; video compression; Australia; HDTV; High definition video; Humans; Image restoration; Magnetic resonance imaging; Psychology; TV; Testing; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
  • Print_ISBN
    0-7803-7503-3
  • Type

    conf

  • DOI
    10.1109/ICDSP.2002.1027870
  • Filename
    1027870