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    A video quality assessment metric based on human visual system

    Lu, W. and Li, Xuelong and Gao, X. and Tang, W. and Li, J. and Tao, D. (2010) A video quality assessment metric based on human visual system. Cognitive Computation 2 (2), pp. 120-131. ISSN 1866-9956.

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    Abstract

    It is important for practical application to design an effective and efficient metric for video quality. The most reliable way is by subjective evaluation. Thus, to design an objective metric by simulating human visual system (HVS) is quite reasonable and available. In this paper, the video quality assessment metric based on visual perception is proposed. Three-dimensional wavelet is utilized to decompose video and then extract features to mimic the multichannel structure of HVS. Spatio-temporal contrast sensitivity function (S-T CSF) is employed to weight coefficient obtained by three-dimensional wavelet to simulate nonlinearity feature of the human eyes. Perceptual threshold is exploited to obtain visual sensitive coefficients after S-T CSF filtered. Visual sensitive coefficients are normalized representation and then visual sensitive errors are calculated between reference and distorted video. Finally, temporal perceptual mechanism is applied to count values of video quality for reducing computational cost. Experimental results prove the proposed method outperforms the most existing methods and is comparable to LHS and PVQM.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): video quality assessment, human visual system, three-dimensional wavelet, contrast sensitivity, temporal perceptual mechanism
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 20 Jun 2013 10:14
    Last Modified: 11 Oct 2016 15:27
    URI: https://eprints.bbk.ac.uk/id/eprint/7517

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