提出一种MPEG2量化器的区域自适应率失真优化算法。
This paper proposes a decision region adaptive MPEG 2 quantization algorithm.
复杂度提升主要是由于引入了率失真优化策略遍历所有编码模式。
This mainly because of the introduction of radio distortion optimization strategy and traverse all of the coding modes.
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。
This thesis focuses on two aspects of optimization, the one is rate-distortion optimization and the other is assembly optimization.
其次，提出了基于PFGS的两点率失真优化的联合基本层和增强层模式选择算法。
Secondly, a two-point rate-distortion optimized joint base layer and enhancement layer mode decision algorithm is proposed for PFGS.
大量实验结果表明：改进的算法实现了模型参数的预测精确，提高了率失真优化性能。
Extensive experimental show that proposed scheme significantly improves model parameters prediction accuracy and enhances rate distortion performance.
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。
The full search decision method and rate distortion optimization strategy of JM8.4 code were analyzed firstly.
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。
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.
因此如何准确估算出差错环境下从编码器到解码器端的失真度，并由此来决定编码模式就成为率失真优化的关键问题。
Therefore, how to estimate precisely the distortion between the codec in error prone environments in order to choose the coding mode is the key problem of rate-distortion.
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 the second contribution, we formulate mode decision of loss-aware rate distortion optimization (LA-RDO) with Lagrange multiplier selection in SVC scenarios.
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。
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.
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.
同时，论文提出的码率控制算法还对宏块层的率失真优化过程做了改进，根据每个宏块的预测目标比特数来调整率失真优化的拉格朗日系数，使帧层码率控制效果更优。
At the same time, this paper also improves the process of RDO in the macroblock layer. Based on the prediction bits of the macroblock, the Lagrange coefficient has been modified adaptively.
提出一种构造择优量化表的新方法。在一个固定块尺寸的离散余弦变换（DCT）中，该方法可产生优化的率失真特性。
The present paper presents a new method for constructing optimal quantisation tables. The method produces optimal rate-distortion performance in a fixed block size DCT.
针对这一问题，提出了一个新的基于率失真理论的优化方法，称为最优系数调整法。
In accordance with this, a novel optimum method based on rate distortion theory called optimal coefficient adjustment is presented.
与标准的率失真(PCRD)优化算法相比，该算法不会在计算码率失真斜率和搜索最优分层截断点时产生运算开销。
Compared with the standard post-coding rate distortion (PCRD) algorithm, the proposed algorithm has no spending in calculating rate-distortion slope and searching for optimum truncation points.
块间根据率失真曲线对比特分配进行合理优化。
Then a optimizing method based on rate-distortion curve is used to make reasonable bit-allocation among the blocks.
块间根据率失真曲线对比特分配进行合理优化。
Then a optimizing method based on rate-distortion curve is used to make reasonable bit-allocation among the blocks.
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