Title :
Video Transmission Channel Distortion Estimation Model for H.264/AVC Based on Channel Simulation
Author :
Zhang, Qing-Ming ; Peng, Qiang ; Chen, Jim X. ; Zhu, Ce
Author_Institution :
Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
Abstract :
A precise simulative estimate of a channel distortion model is proposed by analyzing characteristics of error propagation. This model can well be combined with the advantages of the recursive optimal per-pixel estimate model and the channel simulative estimate model. A specific packet loss-rate channel distortion is calculated by a few special channel simulators first. Then other packet loss-rate channel distortions are calculated by the relationship between packet loss-rate and channel distortion. The estimation accuracy is demonstrated via simulation results from video transmission over packet loss channel. The average estimation error is 9.4% for different intensity sequences at different packet loss-rates, which illustrates that the actual distortion can be estimated accurately and quickly by the proposed model.
Keywords :
channel estimation; rate distortion theory; recursive estimation; video coding; H.264-AVC; channel distortion estimation model; channel simulative estimate model; error propagation; packet loss-rate channel distortion; recursive optimal per-pixel estimate model; video transmission; Analytical models; Automatic voltage control; Computational modeling; Computer simulation; Decoding; Estimation error; Propagation losses; Recursive estimation; Video coding; Videoconference; channel simulation; distortion estimation; video transmission;
Conference_Titel :
Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3658-3
DOI :
10.1109/MUE.2009.98