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中文摘要：
提出了一种基于广义拉普拉斯概率密度的视频编码速率模型，该模型较传统拉普拉斯概率密度来说更好的刻画了视频序列DCT特征的峰态和尾部分布．以该速率模型为基础，从宏块级闷标比特分配和宏块级量化参数调整的角度提出了一种低时延速率控制算法．该算法改善TMN8中采用计算宏块方差得到量化参数所引入的复杂度，使用了在帧级确定基本量化参数，在宏块层进行调整的方法．通过仿真实验验证了该算法可有效的调节缓存占有率并降低系统时延．
英文摘要：
A new rate model based on Generalized Laplacian Distribution is introduced in this paper. Compared to the traditional Laplacian Distribution, the model can better describe the kurtosis and tail distribution of DCT of video sequences. Besides, according to the new rate model, a low-delay rate control algorithm adopting target bit allocation and Quantization Parameter （Qp） on Macroblock （MB） level is proposed. The compute complexity, which is caused by Qp obtained from MB variance in TMN8, can be reduced in the algorithm by adopting the method that the basic Qp is determined in frame lever and adjusted in MB level. Simulation results show that the proposed algorithm can effectively regulate buffer occupancy and reduce system delay.
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