A New Adaptive Motion Estimation Algorithm Based on Correlation of Motion Vectors
基于矢量相关性的自适应运动估计搜索算法

A new adaptive motion estimation algorithm based on correlation of motion vectors is presented in this paper.The algorithm utilizes the correlation information of current block's three neighbouring motion vectors to classify current block into correlation-type block and independent-type block.Different motion estimation methods are applied for correlation-type block and independent-type block to achieve lower computational complexity and good estimation accuracy.The simulation results show that the proposed algorithm has much lower computational complexity than other motion estimation algorithms,such as full search(FS),diamond search(DS) and Hexagon-based search(HEXBS),with no severe PSNR degradation.