• DocumentCode
    1583488
  • Title

    Keynote speech 3: Visual quality evaluation for images and videos

  • Author

    Ngan, K.N.

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • Abstract
    Visual quality assessment of images and videos has become important nowadays with the demand of high-definition and high-quality viewing experience. The standards bodies, i.e., ITU-T VCEG and MPEG, now require subjective tests to be performed on all proposals. This talk will give an introduction on subjective and objective visual quality assessments, with focus on the latter. For subjective visual quality assessment, a short review will be given on the standard subjective evaluation procedure and the subjective score analysis methods. For objective visual quality assessment, its applications, its classifications, and the different techniques used in image and video quality metrics, both from existing literature and from our works, will be discussed. The general framework used by the classical HVS-model based image quality metrics (IQMs) will be briefly introduced first, followed by some new methodologies which do not rely on the HVS models, e.g., ones used in SSIM (Structural SIMilarity) and VIF (Visual Information Fidelity) quality measures. For video quality assessment, how temporal/motion information is used to measure the subjective video quality will also be presented.
  • Keywords
    image enhancement; video signal processing; ITU-T VCEG; MPEG; SSIM; VIF; classifications; high-definition viewing; high-quality viewing; image quality metrics; structural similarity; subjective evaluation procedure; subjective score analysis; video quality metrics; visual information fidelity; visual quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2010 International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-7007-5
  • Electronic_ISBN
    978-1-4244-7009-9
  • Type

    conf

  • DOI
    10.1109/ISCIT.2010.5665185
  • Filename
    5665185