• DocumentCode
    3534613
  • Title

    A new reduced reference objective quality metric for stereoscopic video

  • Author

    Malekmohamadi, H. ; Fernando, W.A.C. ; Kondoz, A.M.

  • Author_Institution
    I-Lab. Multimedia Commun. Res., Univ. of Surrey, Guildford, UK
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    1325
  • Lastpage
    1328
  • Abstract
    A new reduced reference (RR) objective quality metric for stereoscopic video is proposed that incorporates spatial neighbouring information. The contrast measures from grey level co-occurrence matrices (GLCM) for both colour and depth are the main parts of spatial information. Side information are extracted from edge information of original video and sent through an auxiliary channel. The other important factor in the proposed metric is the unequal weight of colour and depth views, which can maximise the performance of the proposed metric for some specific values. Performance of the proposed metric is validated through series of subjective tests to show how it correlates subjective quality scores. The average correlation of the proposed metric and subjective quality scores is 0.82 when colour to depth importance ratio is near 4.
  • Keywords
    edge detection; image colour analysis; stereo image processing; video signal processing; GLCM; RR metric; auxiliary channel; colour unequal weight; contrast measure; depth views; edge information; grey level co-occurrence matrices; information extraction; reduced reference objective quality metric; spatial information; stereoscopic video; Distortion measurement; Image color analysis; Quality assessment; Stereo image processing; Streaming media; Video recording; Contrast measure; GLCM; RR metric; SAMVIQ;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-4673-4942-0
  • Electronic_ISBN
    978-1-4673-4940-6
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2012.6477774
  • Filename
    6477774