A motion compensated approach to video quality assessment
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.