Reduced-Reference Video Quality Assessment using Distributed Source Coding

In this paper we propose a reduced-reference quality assessment algorithm which computes an approximation of the structural similarity (SSIM) metric exploiting coding tools provided by the distributed source coding theory. The algorithm has been tested to evaluate the quality of decoded video bitstreams after transmission over error-prone networks. We evaluate the accuracy of the proposed quality assessment algorithm by measuring the Pearson’s correlation coefficient between the structural similarity metric computed in full-reference mode and the one provided by the proposed reduced-reference algorithm. The proposed reduced-reference algorithm achieves good correlation values (higher than 0.85 with packet loss rate equal up to 2.5%).