No reference video-quality-assessment model for video streaming services

We propose a no reference video-quality-assessment model for estimating the quality of experience (QoE) of video streaming services using quality features derived from decoded video signals. The proposed model is useful as a QoE monitoring tool for video streaming services. It takes into account the impact of compression on video quality by using blockiness and blur derived from decoded video signals. We conducted subjective quality assessments and validated the performance of the model. Test results show that the proposed model estimates QoE with high quality-estimation accuracy.