A model of video coding based on multi-agent

Authors:
Yang Tao;Zhiming Liu;Yuxing Peng
Affiliations:
School of Computer Science, National University of Defense Technology, Changsha, China;Department of Computer, Nanhua University, Hengyang, China;School of Computer Science, National University of Defense Technology, Changsha, China
Venue:
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Year:
2006

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Abstract

In this paper we first propose a model of video coding based on multi-agent systems to improve the coding efficiency for H.264. We adopt the scheme of MAS in which the frame agent is designed to get information from the encoded frames regarding which reference macroblocks to select and to find the best motion vector by intercommunicating to each other and the whole coding process can be executed in a parallel way. Each frame agent can do himself coding work, and Motion Estimation can be used through the intercommunion between all the limited frame agents. In addition, a variety of Agents constructions and the ways to implementation are also discussed. The analysis study show that our design model is a valid and the proposed model presents us a novel video coding technology compared to other classical methods, which is a kind of technology fusion of signal processing and AI.