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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
H.264, Draft ITU-T Recommendation and Final Draft International Standard, Pattaya, Thailand (2003)
Pan, F., Rahardja, L.S., Lim, K.P., Wu, L.D., Wu, W.S., Zhu, C., Ye, W., Liang, Z.: Fast intra mode decision algorithm for H.264-AVC video coding. In: Image Processing, 2004. ICIP 2004. 2004 International Conference on, October 2004, vol. 2, pp. 24–27, pp. 781–784 (2004)
Chen, C., Wu, P.-H., Chen, H.: Transform-Domain Intra Prediction for H.264; Circuits and Systems. In: ISCAS 2005. IEEE International Symposium, May 23-26, 2005, pp. 1497–1500 (2005)
Efficient block-size selection algorithm for inter-frame coding in H.264/MPEG-4 AVC, Yu, A.C. Acoustics, Speech, and Signal Processing. In: Proceedings (ICASSP 2004). IEEE International Conference on, May 17-21, 2004, vol. 3, pp. iii- 169–72 (2004)
Yi, X., Zhang, J., Ling, N., Shang, W.: Improved and simplified fast motion estimation for JM. In: JVT-P021, July 2005 (2005)
Bradshaw, J.M.: An Introduction to Software Agents. In: Bradshaw, J.M. (ed.) Software Agents, pp. 3–46. AAAI Press, Menlo Park (1997)
Kinny, D.: The AGENTIS agent interaction model in Intelligent Agents V. In: Rao, A.S., Singh, M.P., Müller, J.P. (eds.) ATAL 1998. LNCS (LNAI), vol. 1555, Springer, Heidelberg (1999)
Bema Koes, M., Nourbakhsh, I., Sycara, K.: Communication efficiency in multi-agent systems[C]. In: Robotics and Automation, Proceedings ICRA 2004. IEEE International Conference on 2004 (2004)
Joint Video Team (JVT), reference software JM10.1, http://iphome.hhi.de/suehring/tml/download/jm10.1.zip
Dependable Agent Systems. IEEE Intelligent Systems Special Issue, 19(5) (September/October 2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)