• DocumentCode
    3756609
  • Title

    A Stereo Video Quality Assessment Method for Compression Distortion

  • Author

    Hong Zhu;Mei Yu;Yang Song;Gangyi Jiang

  • Author_Institution
    Fac. of Inf. Sci. &
  • fYear
    2015
  • Firstpage
    481
  • Lastpage
    485
  • Abstract
    Based on feature analysis of video compression distortion, a new stereo video quality assessment (SVQA) method for compression distortion is proposed from temporal characteristics of video and binocular perception in this paper. First of all, significant pixels of monocular video are determined, and a new definition of region-of-interest (ROI) is given by using significant pixels and just noticeable distortion model. Secondly, taking ROIs and temporal perception characteristics of video and depth perception of stereo views into account, two quality metrics, left and right views´ quality metric and depth perception metric, are designed. Finally, the two quality metrics are pooled to obtain final SVQA score. Experimental results with tested in the NAMA3DS1 - CoSpaD1 stereo video database show that the proposed method is quite efficient for evaluating stereo video quality, its linear correlation coefficient (LCC) is above 0.92, and its evaluating results are more consistent with subjective perception.
  • Keywords
    "Measurement","Quality assessment","Distortion","Video recording","Three-dimensional displays","Image coding","Visualization"
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CSCI.2015.18
  • Filename
    7424140