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

In 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. The proposed method has a spatial-temporal approach and because of that it is named as STAQ (Spatial-Temporal Assessment of Quality). In the first step of STAQ we take a temporal approach and find the matching regions in consecutive frames. In the next step, a spatial approach is taken in the way of calculating the quality of the matching regions in the temporal approach. In the last step, the quality of the video is calculated based on the parameters gathered in the spatial and temporal domain and using the motion activity density of the video as a controlling factor. An important improvement lies in taking into account the Quality of Experience (QoE) represented as the motion activity density of the reference video. The results show a great improvement in the case of H.264 and IVWEG-2 compressed and IP distorted videos even when compared to state of the art Full Reference (FR) metrics.