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A reduced reference video quality metric for AVC/H.264 is proposed. This reduced reference metric evaluates a set of features such as blur or blocking and combines these measurements into one quality information using multivariate data analysis. The metric needs a very low overhead in terms of additional bit rate and is verified with data from accurate subjective testing. It does not only outperform...
To improve the prediction accuracy of visual quality metrics for video we propose two simple steps: temporal pooling in order to gain a set of parameters from one measured feature and a correction step using videos of known visual quality. We demonstrate this approach on the well known PSNR. Firstly, we achieve a more accurate quality prediction by replacing the mean luma PSNR by alternative PSNR-based...
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