中文摘要：

基于视频图像编码前的参数信息和I帧图像复杂度的特征量分析,建立了算法模型,提出了精确预测初始量化参数（IQPP）算法,该算法可准确预测初始量化参数.实验结果表明,在低比特率视频应用中,IQPP算法对于视频图像的码率控制精度和率失真优化效果较以往方法有明显提高,而且可以获得较高的平均峰值信噪比（PSNR）和稳定的重建图像质量.

英文摘要：

An initial quantity parameter （QP） prejudgment （IQPP） algorithm that can predict the initial QP precisely is proposed based on statistics of encoded frames and frame complexity eigenvalue of I frame. Experimental results show that IQPP algorithm will greatly enhance the performance of rate control and rate-distortion optimization （RDO）. The average peak signal-to-noise ratio （PSNR） will be improved compared to traditional method and a constant picture quality has been achieved at low bit rates.