Modeling of pattern-based block motion estimation and its application
IEEE Transactions on Circuits and Systems for Video Technology
Direction integrated genetic algorithm for motion estimation in H.264/AVC
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Block-matching algorithm based on differential evolution for motion estimation
Engineering Applications of Artificial Intelligence
Multimedia Tools and Applications
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
Applied Soft Computing
Block-matching algorithm based on harmony search optimization for motion estimation
Applied Intelligence
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A lightweight genetic search algorithm (LGSA) is proposed. Different evolution schemes are investigated, such that the control overheads are largely reduced. It is also shown that the proposed LGSA can be viewed as a novel expansion of the three-step search algorithm (TSS). It can be seen from the simulation results that the performance of LGSA is very similar to that of the full search algorithm (FSA), and the computational complexity is much lower than that of FSA and other previously proposed genetic motion estimation algorithms