A Novel Search Technique of Motion Estimation for Video Compression

Authors

  • Pranob K Charles

  • Dr. K.S. Rao

  • Dr. K.S. Rao

Keywords:

hierarchical search, motion estimation, PSNR, new cross diamond search, new three step search, BMA

Abstract

Video Compression is highly demanded now a days as due to the fact that in the field of entertainment, medicine and communication there is high demand for digital video technology. For the effective removal of temporal redundancy between the frames for better video compression Motion estimation techniques plays a major role. Block based motion estimation has been widely used for video coding. One such method is the Hierarchical Search Technique for BMA. By amalgamating the three different search algorithms like New three step search, New Full search and New Cross diamond search a novel hierarchical search methodology is proposed. Sub- sampling the original image into additional two levels is done and thereby the New Diamond search algorithm and a new three-step search algorithm are used in the bottom two levels and the Full Search is performed on the highest level where the complexity is relatively low. In terms of PSNR with reduced complexity this new proposed algorithm showed better performance.

How to Cite

Pranob K Charles, Dr. K.S. Rao, & Dr. K.S. Rao. (2017). A Novel Search Technique of Motion Estimation for Video Compression. Global Journal of Computer Science and Technology, 17(F2), 1–5. Retrieved from https://computerresearch.org/index.php/computer/article/view/1584

A Novel Search Technique of Motion Estimation for Video Compression

Published

2017-05-15