The Study of Frame Complezity Prediction and Rate Control in H.264 Encoder

摘要：

MAD (Mean Absolute Difference) is a widely adopted expression method of image complexity. By analyzing the relationship between average MAD of some previously encoded P frames in the GOP and the actual MAD of the last previously encoded P frame, a more accurate MAD prediction model is proposed to substitute linear model for MAD prediction. The experiment results show that proposed model performs better in test sequences, as MAD prediction error is more effectively reduced by up to 34％ comparing to linear model. By studying the relationship between the bit budget and the image complexity, a method regarding the image complexity is provided here to allocate bit to frames according to their MAD ratio; and an adaptive QP adjustment method is given to improve overall visual quality. Equipped with the methods mentioned above, H.264 coder can effectively alleviate PSNR surges and sharp drops for frames caused by high motions or scene changes in simulation.

关键词： Rate Control Frame Complezity MAD Bit Allocation H.264

作者: Jie Yang Qiang Zhao Lei Zhang

作者单位: School of Information Engineering, Wuhan University of Technology Wuhan, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 187-191

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）