点评：一种基于运动复杂度的快速运动估计自适应选择方法，首先，根据视频序列的时间连续性，以前一帧图像的运动复杂度为依据，进行运动复杂度的帧级判断；然后，根据帧级判断的结果，对需要继续进行判断的图像帧，根据视频序列的空间相关性，进行宏块级运动复杂度的判断；最后，根据帧级和宏块级对运动复杂度的判断，为当前宏块选择运动估计方法进行运动估计。本发明在分析了菱形搜索方法和分级运动估计方法优缺点的基础上，利用已有方法的互补性，通过对视频序列进行帧级和宏块级运动复杂度的计算，并结合自适应阈值和提前终止条件的判断，选择出较为合适的搜索方法。实验结果表明本发明可以在保证图像质量的前提下，达到加快运动估计的目的。

Comment: The invention relates to a rapid motion estimation self-adaptive selection method based on motion complexity. Firstly, according to the time continuity of a video sequence, the frame level judgment of motion complexity is carried out taking the motion complexity of the image of a previous frame as the basis; then according to the result of the frame level judgment, the judgment of macro-block level motion complexity is carried out on image frames required to continue the judgment according to the space correlation of the video sequence; and finally, the motion estimation is carried out on thecurrent macro-block to select the motion estimation method according to the judgment of the motion complexity for the frame level and macro-block level. On the basis of the analysis for the advantages and disadvantages of the diamond search method and the motion estimation method, the invention utilizes the complementarity of the existing methods, combines the self-adaptive threshold value and the judgment of premature termination conditions to select suitable search method through the calculation of the frame-level motion complexity and macro-block level motion complexity of the video sequence. Experiment results show that the invention can achieve the purpose of rapid motion estimation on the precise of guaranteeing the image quality.