H.264中一种基于R-Q模型的自适应码率控制算法研究

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。

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

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 control,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.