Direction integrated genetic algorithm for motion estimation in H.264/AVC

Authors:
Linh Tran Ho;Jong-Myon Kim
Affiliations:
School of Computer Engineering and Information Technology, University of Ulsan, Ulsan, Korea;School of Computer Engineering and Information Technology, University of Ulsan, Ulsan, Korea
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

Citing 3
Cited 0

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Abstract

In this paper, we present a robust motion estimation scheme using a direction integrated genetic algorithm (DIGA) to speed up the encoding process of H.264/AVC video compression as well as to keep low bits to code frames. The proposed algorithm is utilized to enhance the fitness function strength by integrating the direction information into fitness function besides sum absolute difference (SAD) information. Experimental results demonstrate that the proposed DIGA resolves both conflict obstacles in terms of number of bits to code frames and computational cost for estimation.