一种基于块运动类型和方向预测相结合的快速搜索算法

摘要

This paper proposes a fast algorithm based on motion classification and direction prediction in which the spatial-temporal correlations of adjacent blocks' motion vectors are used. The algorithm predicts the motion classification and relative motion of blocks and adaptively chooses different search method with motion classification information of blocks. For relative fast motion blocks, it predicts the motion direction and chooses corresponding search patterns. Experiments show that the algorithm can save more search time than other traditional algorithms with the same accuracy.%根据序列图像中相邻块运动矢量的时间和空间相关性,本文提出一种基于块运动类型和方向预测相结合的快速搜索算法.该算法对块的运动类型和相时运动类型进行预测,并根据不同的运动类型自适应地采用不同的搜索策略进行搜索,对相对大运动块进行运动方向预测,并根据块的运动方向选择相应的方向搜索模板进行搜索.实验表明,该算法能在保证搜索准确度的同时节省大量的搜索时间.