A no-reference low-complexity QoE measurement algorithm for H.264 video transmission systems

Quality of Experience (QoE) measurement for transmitted video sequences over packet error prone channels is an inevitable necessity. Due to the intrinsic properties of packet error prone channels in imposing quality degradation on transmitted media and also, the costly and time-consuming nature of subjective quality measurement techniques, exact modeling of the impact of packet loss on measured video quality based on on-line objective measurement methods is an important task. In the current work, a low-complexity objective video quality measurement algorithm is developed by which by considering various factors that may affect video quality, we can estimate subjective video quality with acceptable accuracy. Then, the performance of the proposed objective algorithm is compared with popular objective SSIM/VQM techniques. The simulation results verify that the proposed algorithm has high level of accuracy. On the other hand, the proposed algorithm has low-complexity which makes it suitable for online implementation. Some important and related patents in the field of QoE measurements and monitoring in networks are investigated.