Block Matching Algorithm Based on Particle Swarm Optimization for Motion Estimation

摘要：

In this paper,based on Particle Swarm OptimiTation (PSO),we propose a fast block matching algorithm for motion estimation (ME) and compare the algorithm with other popular fast block-matching algorithms for ME. A real-world example shows that the block matching algorithm based on PSO for ME is more feasible than others. Moreover,the initial values of parameters in PSO are empirically discussed,since they directly affect the computational complexity.Thus,an improved PSO algorithm for ME is empirically given to reduce computational complexity.

作者: Xuedong Yuan Xiaojing Shen

作者单位: College of Computer Science Sichuan University Chengdu,Sichuan,610064,P.R.China College of Mathematics Sichuan University Chengdu,Sichuan,610064,P.R.China

会议类型: 国际会议

会议名称: The 2008 International Conference on Embedded Software and Systems Symposia(ICESS 2008)(2008国际嵌入式系统及嵌入式软件会议)

会议地点: 成都

会议语种:英文

页码: 191-195

在线出版日期: 2008-01-01（万方平台首次上网日期，不代表论文的发表时间）