Video quality measurement based on 3-D. Singular value decomposition

摘要

This paper presents a new full reference Video Quality Assessment (VQA) method based on using 3 Dimensional Singular Value Decomposition (3-D SVD). The method compares the structural properties and the luminance characteristics between the reference and the distorted videos. This aim is obtained by applying 3-D SVD that is singular value decomposition in a 3-D space. In principal, the distorted and the original videos are projected on the singular vectors of the original video. The weighted difference between the reflections coefficients could be considered to quantify the quality of videos. For our experiments, we have used the LIVE and EPFL-PoliMI video quality databases to evaluate the performance of our metric. The results show a great correlation between the measure scores and the subjective scores. (C) 2014 Elsevier Inc. All rights reserved.