Multi step motion estimation algorithm

D. J. Jayaswal, M. A. Zaveri, R. E. Chaudhari
2010 Proceedings of the International Conference and Workshop on Emerging Trends in Technology - ICWET '10  
We propose a multi step motion estimation algorithm (MSME) that encompasses techniques such as motion vector prediction, determination of search range and search patterns, and identification of termination criteria that suits to all type of video characteristic. This approach allows us to exploit random distribution of motion vector in successive video frames from which the initial candidate predictors are derived. The derived predictors are the most probable points in search window, which will
more » ... assure that, the motion vectors in the vicinity of center point and at the edge of the search window does not miss out, as it does for earlier algorithms like Three step search(TSS), Four step search(FSS), Diamond(DS), etc and refinement stage used in the algorithm will allow us to extract true motion vector so that the picture quality is as good as Full search(FS) which is the optimal algorithm. The novelty of the proposed MSME algorithm is that the search pattern derived is not static but can dynamically shrink or enlarge to account for small and large motion and fixed threshold used improves speed without sacrificing the quality of video. The Simulation result shows that our proposed algorithm outperforms all sub-optimal algorithms in terms of quality and speed up performance and in many cases PSNR of proposed algorithm is comparable to Full Search.
doi:10.1145/1741906.1742012 dblp:conf/icwet/JayaswalZC10 fatcat:hzbxt23vljhynikiw34uwqxkoy