• DocumentCode
    1888895
  • Title

    Reduced-reference metric design for video quality measurement in wireless application

  • Author

    Fei Yuan ; En Cheng

  • Author_Institution
    Key Lab. of Underwater Acoust. Commun. & Marine Inf. Technol., Minist. of Educ.
  • fYear
    2008
  • fDate
    10-12 Nov. 2008
  • Firstpage
    641
  • Lastpage
    644
  • Abstract
    In this paper, the author focused on the design of a reduced-reference metric for wireless video quality measurement. The metric based on the principle that human trends to have different perceptibility to impairment which appeared in difference spatial and temporal regions of a video sequence. To be cooperated with the principle, the author improved on the traditional image quality metric based on singular value decomposition (SVD). Difference singular values were extracted as the reference features according to the characteristic of its video sequence. So they would be more consanguineous with the video content and be more consistent with the human perception. By doing so, the metric can reduce the bandwidth requirement of the system and be more suitable for the video quality measurement in the wireless application.
  • Keywords
    data compression; image sequences; singular value decomposition; video coding; human perception; human trends; reduced-reference metric design; singular value decomposition; video compression; video content; video quality measurement; video sequence; Acoustic measurements; Bandwidth; Data mining; Distortion measurement; Feature extraction; Humans; Laboratories; Underwater acoustics; Video compression; Video sequences; Reduced-Reference (RR); Video Quality Meausrement; Wireless Video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2250-0
  • Electronic_ISBN
    978-1-4244-2251-7
  • Type

    conf

  • DOI
    10.1109/ICCT.2008.4716178
  • Filename
    4716178