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An objective video quality metric based on spatiotemporal distortion

This paper proposes an objective video quality metric based on an analysis of spatial and temporal distortions. Spatial quality features extracted from the spatiotemporal region of reference and distorted videos are used to express the spatial distortion. Temporal distortion, caused by frame freezing resulting from a packet loss, is derived from the spatial distortion before and after the frozen frames. The overall quality is predicted according to the weighted combination of qualities over all the temporal regions. The experimental results with respect to the subjective measurements demonstrate the fast computation and promising performance of the proposed model compared with existing methods.