Design of Objective Video Quality Metrics Using Spatial and Temporal Informations

Abstract

Digital videos are subject to several types of distortions, which may occur during the processes of acquisition, processing, compression, storage and transmission of videos, resulting in loss of visual quality. Video quality assessment is important to set system parameters and propose the reduction of degradation, to improve the systems quality. The most appropriate way to assess the visual quality of a video sequence is subjective assessment. This study proposes new metrics for assessment of videos. The proposed metrics that uses spatial and temporal information to evaluate videos are more closely to the subjective assessment. For the evaluation of videos the BD-TPW-SSIM and TP-VQI metric obtained the best result for wireless degradation. For MPEG-2 encoded videos, T-PW-SSIM e T-MOVIE was the best, and IP systems the metric with the best result was the TPW-SSIM. Finally, the metric T-VimSSIM was the best for H.264 encoding.