H. 264 Motion Estimation Algorithm in JM Model and Its Improvement Program
H．264JM模型中运动估计算法及改进方案

JM is the standard test model published by joint video team(JVT),which has great significance in algorithm learning and research.In JM,there are three optional modes by setting parameters differently.Based on the study of the principle of the UMHexagonS algorithm,an improved method is proposed to reduce the time of motion estimation with minimal loss in bitrate and reconstructed quality compared with those of the original UMHexagonS algorithm.Correlation between adjacent blocks is used to end the search.In JM10.2,results show that the improved UMHexagonS algorithm can reduce the time of motion estimation with the original performance of the original UMHexagonS algorithm.