Abstrato

A New Hybrid Block Based Motion Estimation Algorithm for Video Compression

Piyush N. Korat, Dr. Dhava R. Bhojani

The main objective of the motion estimation is to powerfully reduce temporal redundancy between successive frames to achieve significant video compression. Several block-based fast motion estimation algorithms have been proposed in order to improve computational complexity. In this paper different types of block matching algorithms are discussed that range from the very basic to the fast block matching algorithm. This paper suggests a hybrid motion estimation technique (H-MET) based on Diamond Search (DS) and Adaptive Rood Pattern Search (ARPS) algorithms, which effectively detect the slow as well as fast motion with effective computation time and less number of search points compared to DS and ARPS algorithms. The performance of the proposed algorithm is evaluated in terms of matching criteria that is sum of absolute difference (SAD). Experimental results show that the proposed scheme performs better than DS and ARPS by exploiting less number of search points and form compensated frame with better PSNR.