Objective perceptual video quality measurement method based on hybrid no reference framework

In this paper, the authors propose a novel method to measure the perceived picture quality of H.264 coded video based on hybrid no reference framework. The latter term means that the proposed model uses only receiver-side information for objective video quality assessment, but analyzes both the compressed bitstream and baseband signals of the decoded picture to improve the estimation accuracy of the subjective quality. The proposed method extracts quantizer-scale information from the bit-stream along with two spatiotemporal image features from the baseband signal, which are integrated to express the overall quality using the weighted Minkowski metric. A computer simulation shows the proposed method can estimate the subjective quality at a correlation coefficient of 0.909 whereas the PSNR metric, which is referred to as a benchmark, correlates the subjective quality at a correlation coefficient of 0.773.