Title :
A distributed Particle Swarm Optimization algorithm for block motion estimation using the strategies of diffusion adaptation
Author :
Jalloul, Manal K. ; Al-Alaoui, Mohamad Adnan
Author_Institution :
Electr. & Comput. Eng. Dept., American Univ. of Beirut, Beirut, Lebanon
Abstract :
Inter-prediction motion estimation (ME) is solved in a distributed manner by a network of cooperating and learning agents. The block motion estimation problem is formulated as the optimization of a global cost function that is the sum of individual sub-problems. A network of agents is then employed to address this problem where each agent iteratively solves its own sub-problem using a modified Particle Swarm Optimization (PSO) algorithm. Diffusion strategies are employed to allow the agents to cooperate and diffuse information in real-time in order to reach the common minimizer of the global cost function.
Keywords :
distributed algorithms; iterative methods; motion estimation; multi-agent systems; particle swarm optimisation; PSO algorithm; agent network; block motion estimation problem; cooperating agents; diffusion adaptation; diffusion strategy; distributed particle swarm optimization algorithm; global cost function optimization; information diffusion; interprediction motion estimation; learning agents; Classification algorithms; Cost function; Motion estimation; Motion measurement; Particle swarm optimization; Search problems;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2015 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4673-7487-3
DOI :
10.1109/ISSCS.2015.7204009
