Spatial-temporal video quality metric based on an estimation of QoE

Abstract

International audienceIn this work a new Reduced Reference (RR) Video Quality Metric (VQM) is proposed. The method takes advantage of the Human Visual System (HVS) sensitivity to sharp changes in the video. In the first step, the matching regions are calculated using a temporal approach. The quality of these regions are then evaluated using a spatial approach in the last step the quality of the video is calculated based on the parameters gathered in the spatial and temporal domain. An important improvement lies in taking into account the Quality of Experience (QoE) represented as the motion activity density of the reference video. Due to the spatial-temporal approach taken, the metric is named STAQ (Spatial-Temporal Assessment of Quality). The results show a great improvement in the case of H.264 and MPEG-2 compressed and IP distorted videos even when compared to state of the art Full Reference (FR) metrics