• DocumentCode
    1861866
  • Title

    NR objective continuous video quality assessment model based on frame quality measure

  • Author

    Kawayoke, Yoshikazu ; Horita, Yuukou

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Univ. of Toyama, Toyama
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    385
  • Lastpage
    388
  • Abstract
    In the current paper, we suggest a new no-reference (NR) objective video quality assessment model. The proposed method can provide continuous quality values at a rate of two scores per second, according to data obtained from subjective assessment tests under the Single Stimulus Continuous Quality Evaluation (SSCQE) method. Moreover, the proposed method is based on a frame quality measure due to the fact that digital video consists of the time series of frame (still) images. Because the frame quality measure alone is not sufficient for an objective video quality assessment, it is necessary to adjust the frame quality value to the information from contents and motion respectively, such as Spatial Infornation (SI) and Temporal Infornation (TI). Our experiments using MPEG-2 coded video sequences indicate that the objective assessment scores obtained by the proposed method are in concordance with the subjective assessment scores.
  • Keywords
    image motion analysis; image sequences; time series; video signal processing; MPEG-2 coded video sequences; frame quality measure; no-reference objective video quality assessment model; single stimulus continuous quality evaluation method; spatial information; temporal information; time series; Brightness; Computerized monitoring; Distortion measurement; Filtering; Image databases; Pixel; Quality assessment; Quality of service; Testing; Video sequences; MPEG-2; SSCQE; no-reference (NR); video quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4711772
  • Filename
    4711772