This thesis focuses on two aspects of optimization, the one is rate-distortion optimization and the other is assembly optimization.
本文中所使用的优化方法主要是在率失真优化和汇编优化两个方面。
T2 encoder sends feedback to control the coding depth by the accumulated bit rate and complete the rate-distortion optimization truncation.
T2编码器由已编码比特率自适应地反馈控制编码深度，完成优化截取。
In rate-distortion optimization coefficients are encoded with a decreasing R-D slope, so the first coding bits are the ones having the steepest R-D slope.
率失真优化是按照率失真斜率递减的顺序编码系数位，最先编码的位具有最大的率失真斜率，每编码一位都会使失真减少最大。
The so called rate-distortion optimization selection method being applied in H. 264 for selecting the best mode between many choices is also discussed in this paper.
同时，本文还分析了利用率失真优化选择算法在各种编码、预测模式中进行选择的基本原理和实施。
With the research above, a new rate control algorithm is realized by c, which is based on the valid-bit-number coding model and the rate-distortion optimization technique.
在以上研究的基础上，用C语言实现了基于有效比特位编码模型和率失真优化技术的码率控制算法。
The full search decision method and rate distortion optimization strategy of JM8.4 code were analyzed firstly.
首先对JM 8.4程序所采用的全搜索模式决策方法的步骤及率失真优化策略进行了分析。
In the second contribution, we formulate mode decision of loss-aware rate distortion optimization (LA-RDO) with Lagrange multiplier selection in SVC scenarios.
本文的第二个贡献是，针对SVC的编码模式选择，我们考察了在具有丢失感知的率失真优化中拉格朗日乘子的选择方法。
In order to gain the optimal mode, H. 264 adopts Rate Distortion Optimization (RDO) technique to compute the cost of every mode for each macroblock, but it increases computational complexity.
为了得到最优模式，H . 264采用了率失真优化(rdo)技术计算宏块的每种模式的代价，但是这样增加了计算复杂度。
In order to gain the optimal mode, H. 264 adopts Rate Distortion Optimization (RDO) technique to compute the cost of every mode for each macroblock, but it increases computational complexity.
为了得到最优模式，H . 264采用了率失真优化(rdo)技术计算宏块的每种模式的代价，但是这样增加了计算复杂度。
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