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.
The research work was supported by NSF project no. 60433040.
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Tao, Y., Liu, Z., Peng, Y. (2006). A Model of Video Coding Based on Multi-agent. In: Shi, ZZ., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2006. Lecture Notes in Computer Science(), vol 4088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802372_64
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DOI: https://doi.org/10.1007/11802372_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36707-9
Online ISBN: 978-3-540-36860-1
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