A new Optimizing Predictive Motion Vector Fast Motion Estimation Algorithm (OPMVFMEA) is proposed. Based on the center-median-biased distributed characteristic of the motion vector of real-world sequences and the high space-time correlation of adjacent block’s motion vector

combined with similar analysis of the motion vectors

the center

median

forward vector are selected as the basic predictive motion vector to predict the current one

then the similar threshold is set to reduce the redundant information from the three space adjacent block motion vectors. In addition

the adaptive threshold to enable half-stop is also represented. Experiment results show that the algorithm is able to adapt to all types of video sequences and can offer a high performance of PSNR.The search speed of the algorithm is faster than that of the existing well-known algorithms.For case examined

it is about 208 times faster than that of FS in average

which is superior to that of 146 times for PMVFAST

77 times for MVFAST and 55 times for DS. Therefore

the algorithm improves the performance of existing motion estimation algorithms.