• DocumentCode
    2404195
  • Title

    New Full-Reference Visual Quality Assessment Based on Human Visual Perception

  • Author

    Lee, Seon-Oh ; Sim, Dong-Gyu

  • Author_Institution
    Kwangwoon Univ., Kwangwoon
  • fYear
    2008
  • fDate
    9-13 Jan. 2008
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper presents an objective video quality evaluation method for quantifying the subjective quality of digital mobile videos. The proposed method aims to objectify the subjective quality by extracting edge region features and blockiness parameters. To evaluate the proposed algorithm´s performance, we carried out subjective video quality tests with the double-stimulus continuous quality scale (DSCQS) method and obtained differential mean opinion score (DMOS) values for 140 video clips (CIF/QCIF). We then compared the proposed method´s performance to that of existing methods in terms of DMOS estimation accuracy. Experimental results show that the proposed method is approximately 25% better than the EPSNR method in estimating actual DMOS values.
  • Keywords
    feature extraction; video signal processing; visual perception; blockiness parameter; differential mean opinion score; digital mobile video; double-stimulus continuous quality scale; edge region features; feature extraction; human visual perception; subjective video quality; video quality evaluation; visual quality assessment; Codecs; Degradation; Feature extraction; Humans; Image edge detection; PSNR; Pixel; Quality assessment; Testing; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers. International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-1458-1
  • Electronic_ISBN
    978-1-4244-1459-8
  • Type

    conf

  • DOI
    10.1109/ICCE.2008.4587874
  • Filename
    4587874