Temporal Quality Evaluation for Enhancing Compressed Video

This paper proposes a metric to quantify the effect of the video frame loss according to their impact toward perceived temporal quality. This metric utilizes information obtained from pixel domain and particularly aims at measuring the temporal video quality degradation caused by both regular and irregular frame loss. As one application, the proposed temporal quality metric is used to evaluate the benefit of adaptive thresholding in frame skipping algorithms at the encoder. Temporal quality metric shows high prediction accuracy compared to subjective quality evaluation. Furthermore, it is shown by the experimental results that proposed temporal quality metric precisely differentiates between different frame skipping approaches and can be effectively used to evaluate them. With the help of the proposed quality metric, encoders can be designed to drop frames effectively with minimal perceptual video quality degradation.