An accurate active shape model for facial feature extraction
Pattern Recognition Letters
Improving hash-based Wyner-Ziv video coding using genetic algorithms
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
A genetic algorithm for side information enhancement in distributed video coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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Genetic algorithms (GAs) recently have been successfully applied to perform block-based motion estimation. It is shown that the performance of the GA-based motion estimation algorithms nearly approaches that of the full search algorithm (FSA). However, the computational complexity of the existing GA-based algorithms is too high to be used in practice. In this paper, a lightweight genetic search algorithm (LGSA) is proposed. It can be seen from the simulation results that the performance of the proposed LGSA is not only as good as that of the FSA, but the computational complexity is also much lower than that of the FSA and the other existing genetic motion estimation algorithms. Keywords: genetic algorithm, motion estimation, full search algorithm, video coding