Laplace Distribution Based Lagrangian Rate Distortion Optimization for Hybrid Video Coding

被引:138
作者
Li, Xiang [1 ,2 ]
Oertel, Norbert [1 ]
Hutter, Andreas [1 ]
Kaup, Andre [2 ]
机构
[1] Siemens Corp Technol, D-81739 Munich, Germany
[2] Univ Erlangen Nurnberg, Chair Multimedia Commun & Signal Proc, D-91058 Erlangen, Germany
关键词
Hybrid video coding; Lagrange multiplier selection; rate-distortion optimization (RDO); PREDICTION; ALLOCATION; IMAGE;
D O I
10.1109/TCSVT.2008.2009255
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In today's hybrid video coding, Rate-Distortion Optimization (RDO) plays a critical role. It aims at minimizing the distortion under a constraint on the rate. Currently, the most popular RDO algorithm for one-pass coding is the one recommended in the H.264/AVC reference software. It, or HR-A for convenience, is actually a kind of universal method which performs the optimization only according to the quantization process while ignoring the properties of input sequences. Intuitively, it is not efficient all the time and an adaptive scheme should be better. Therefore, a new algorithm Lap-A is presented in this paper. Based on the Laplace distribution of transformed residuals, the proposed Lap-A is able to adaptively optimize the input sequences so that the overall coding efficiency is improved. Cases which cannot be well captured by the proposed models are considered via escape methods. Comprehensive simulations verify that compared with HR-A, Lap-A shows a much better or similar performance in all scenarios. Particularly, significant gains of 1.79 dB; and 1.60 dB in PSNR are obtained for slow sequences and B-frames, respectively.
引用
收藏
页码:193 / 205
页数:13
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