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- W2769406972 abstract "Block matching algorithm is a popular technique in developing video coding applications that is used to reduce the computational complexity of motion estimation (ME) algorithm. In a video encoder, efficient implementation of ME is required that affect the final result in any applications. Searching pattern is one of the factors in developing motion estimation algorithm that could provide good performance. A new enhanced algorithm using a pattern based particle swarm optimization (PSO) has been proposed for obtaining least number of computations and to give better estimation accuracy. Due to the center biased nature of the videos, the proposed algorithm approach uses an initial pattern to speed up the convergence of the algorithm. The results have proved that improvements over Hexagon base Search could achieved with 7.82%–17.57% of computations cost reduction without much value of degradation of image quality. This work could be improved by using other variant of PSO or other potential meta-heuristic algorithms to provide the better performances in both aspects." @default.
- W2769406972 created "2017-12-04" @default.
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- W2769406972 date "2017-01-01" @default.
- W2769406972 modified "2023-09-25" @default.
- W2769406972 title "Pattern Search Based on Particle Swarm Optimization Technique for Block Matching Motion Estimation Algorithm" @default.
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- W2769406972 doi "https://doi.org/10.1007/978-981-10-7242-0_13" @default.
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