A Novel No-Reference Quality Assessment Method for H.264 Coded Video
H. F. Peiro, P. Goudarzi and A. F. PeiroAffiliation:
Research Institute for ICT (ITRC), Tehran, Iran.
AbstractRapid development of broadband multimedia services in the Internet and the demand for higher quality video implies that Quality of Experience (QoE) measurement for transmitted video sequences over packet error prone channels is a necessity. Due to the intrinsic properties of packet error prone channels in imposing quality degradation on the transmitted media and also, costly and time-consuming nature of subjective quality measurement techniques, exact modeling of the impact of packet loss on the measured video quality based on the on-line objective measurement methods is an important task. In the current work, a low-complexity objective video quality measurement algorithm is being developed in which by considering various factors that may affect the video quality, can estimate the subjective video quality with acceptable accuracy. Then, the performance of the proposed objective algorithm is compared with the popular subjective 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 implementations. Some important and related patents in the field of QoE measurement and monitoring in the networks are being investigated.
QoE, VQM, MOS, PCC, RMSE.
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