A motion compensated approach to video quality assessment

Authors:
Anush K. Moorthy;Alan C. Bovik
Affiliations:
Dept. of Electrical and Computer Engineering, Univ. of Texas at Austin, Austin, TX;Dept. of Electrical and Computer Engineering, Univ. of Texas at Austin, Austin, TX
Venue:
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Year:
2009

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Abstract

We propose a new full reference video quality assessment algorithm (FR VQA) - the motion compensated structural similarity index (MC-SSIM). MC-SSIM evaluates spatial quality as well as quality along temporal trajectories. Its computationally simplicity makes it a prime choice for practical implementation. In this paper we describe the algorithm and evaluate its performance on a publicly available VQA dataset. We demonstrate that MC-SSIM correlates well with human perception of quality. We also explore its relationship to the human visual system and describe how a simple and efficient implementation of MC-SSIM can be realized.