RDOES: a rate-distortion optimized encoding and streaming framework for live video transmission

Ye-Bin Liu; Qiong-Hai Dai; Wen-Li Xu; Hai-Bin Zhang

doi:10.1117/12.633215

24 June 2005 RDOES: a rate-distortion optimized encoding and streaming framework for live video transmission

Ye-Bin Liu, Qiong-Hai Dai, Wen-Li Xu, Hai-Bin Zhang

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59604V (2005) https://doi.org/10.1117/12.633215
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

In this paper, we jointly consider the work of rate distortion optimization (RDO) coding and rate distortion optimization (RaDiO) streaming. A statistical mean-squared error (MSE) prediction system considering the changing macroblock refreshing rate and the error propagation effect is introduced to make the expected distortion expression used in RaDiO more accurate. According to this real time distortion prediction method, we propose an integrated rate distortion optimized encoding and streaming (RDOES) framework which jointly optimize the coding and streaming process by combining control on the selection of macroblock refreshing rate, the scheduler on transmission and retransmission of the video packet. Using this framework, we demonstrate that each frame should be encoded as I frame or none-intra-macroblock-refreshing P frame to achieve the best transmission performance whenever RaDiO or RDOES is used. Simulation results show that our RDOES framework provides flexibility and demonstrates substantial performance gains of at least 1.1dB on average over conventional RaDiO.

Citation Download Citation

Ye-Bin Liu, Qiong-Hai Dai, Wen-Li Xu, and Hai-Bin Zhang "RDOES: a rate-distortion optimized encoding and streaming framework for live video transmission", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59604V (24 June 2005); https://doi.org/10.1117/12.633215

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