Predictive motion vector field adaptive search technique (PMVFAST)  enhancing block based motion estimation Motion Estimation (ME) is an important part of most video encoding systems, since it could significantly affect the output quality of an encoded sequence. Unfortunately this feature requires a significant part of the encoding time especially when using the straightforward Full Search (FS) algorithm. In this paper a new algorithm is presented named as the Predictive Motion Vector Field Adaptive Search Technique (PMVFAST), which significantly outperforms most if not all other previously proposed algorithms in terms of Speed Up performance. In addition, the output quality of the encoded sequence in terms of PSNR is similar to that of the Full Search algorithm. The proposed algorithm relies mainly upon very robust and reliable predictive techniques and early termination criteria, which make use of parameters adapted to the local characteristics of a frame. Our experiments verify the superiority of the proposed algorithm, not only versus several other wellknown fast algorithms, but also in many cases versus even the Full Search algorithm.

An efficient multiframe dynamic search range motion estimation for H.264 H.264AVC achieves higher compression efficiency than previous video coding standards. However, this comes at the cost of increased complexity due to the use of variable block size motion estimation and longterm memory motion compensated prediction (LTMCP). In this paper, an efficient multiframe dynamic search range motion estimation algorithm is proposed. This algorithm can adjust the spatial search range and temporal search range according to the video content dynamically. This algorithm can be on the top of many other fast motion estimation (Fast ME) algorithms. Compared with the constant search range scheme used by multiframe UMHexagonS algorithm, the proposed algorithm can be 4.86 time faster, with negligible degradation of video quality.