Block Matching Algorithm Based on Particle Swarm Optimization for Motion Estimation
ICESS '08 Proceedings of the 2008 International Conference on Embedded Software and Systems
An Efficient Bidirectional Frame Prediction Using Particle Swarm Optimization Technique
ARTCOM '09 Proceedings of the 2009 International Conference on Advances in Recent Technologies in Communication and Computing
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
On fast and accurate block-based motion estimation algorithms using particle swarm optimization
Information Sciences: an International Journal
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
A new diamond search algorithm for fast block-matching motion estimation
IEEE Transactions on Image Processing
Adaptive rood pattern search for fast block-matching motion estimation
IEEE Transactions on Image Processing
A novel four-step search algorithm for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
A block-based gradient descent search algorithm for block motion estimation in video coding
IEEE Transactions on Circuits and Systems for Video Technology
A new three-step search algorithm for block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
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Block matching motion estimation is a popular method in developing video coding applications. A new algorithm has been proposed for reducing the number of search points using a pattern based particle swarm optimization (PSO) for motion estimation. The conventional particle swarm optimization has been modified to provide accurate solutions in motion estimation problems. This leads to very low computational cost and good estimation accuracy. Due to the center biased nature of the videos, the proposed approach uses an initial pattern to speed up the convergence of the algorithm. Simulation results show that improvements over other fast block matching motion estimation algorithms could be achieved with 31%~63% of search point reduction, without degradation of image quality.