文章基本信息

标题：Multi Objective Optimization in Video Coding
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作者：M.Thamarai ; R.Shanmugalakshmi
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：2
期号：6
页码：419-423
出版社：International Journal of Soft Computing & Engineering
摘要：Particle Swarm Optimization (PSO) is a global optimization technique based on swarm intelligence. It simulates the behavior of bird flocking. It is widely accepted and focused by researchers due to its profound intelligence and simple algorithm structure. Currently PSO has been implemented in a wide range of research areas such as functional optimization, pattern recognition, neural network training and fuzzy system control etc., and obtained significant success. In this paper the application of Particle swarm optimization for video coding is analyzed The application of multi objective optimization using PSO for optimal subband selection of the dualtree discrete wavelet transform is proposed and analyzed. The results are compared with the standard techniques. The video coding using PSO and Dualtree wavelet transform provides better PSNR values when compared to the PSO based Block based coders. The performance variation of the PSO based coder in various aspects such as swarm size variation and threshold value variation for frame rates are also measured.
关键词：Dualtree Discrete Wavelet Transform; Multi;objective Particle Swarm Optimization; Noise Shaping and MSE