H.264中一种基于R-Q模型的自适应码率控制算法研究

Research on adaptive rate control algorithm for H.264 based on R-Q model

提出一种新的基于帧复杂度的二级码率控制算法(TSRCA,two-stage rate control algorithm)。总结码率控制算法的最新研究成果,分析码率控制基本原理,继而提出一种二级码率控制算法,以解决"蛋鸡悖论"。其次,用RDO模式选择中的比特数信息代替平均绝对残差(MAD,mean absolute difference)来预测帧的复杂度,提高了预测的准确度。所提出的码率控制算法能够显著提高码率控制精度和编码性能。

The foundation theory of rate control theory in H.264 video coding standard was analyzed. The latest research work about rate control algorithm were summarized. On the basis of analysis. A novel frame-level rate control algorithm was proposed. Firstly, in order to reduce the inter-dependency between RDO （rate-distortion optimization） and rate con- trol, a kind of two-stage rate control algorithm was presented. Secondly, to provide more accurate prediction of the frame complexity, instead of the MAD （mean absolute difference）, bits information in the RDO-based mode decision process was employed to predict the frame complexity. Thirdly, a self-adaptive exponential R-Q model was proposed. The proposed rate control algorithm overcomes the disadvantages in the rate control precision and encoding performance of former algorithms.