Abstract
Scene segmentation is one of the most important tasks in research and commercial applications. With the rapid development of Internet, there is an increasing demand for real-time, mobile and autonomous multi-media system to increase the user-friendliness of e-shopping experience and to provide value-added e-services. Traditional scene segmentation techniques, which are mainly sequential and offline, cannot segment images in a real-time manner. This paper introduces a real-time, multi-media system known as Intelligent Java Agent Development Environment (iJADE) Scene Segmentater—an agent-based scene segmentation system using Solely Excitatory Oscillator networks (SEON) for real-time scene segmentation. It is based on an intelligent multi-agent based model, namely, iJADE, which supports various e-commerce applications. Using a gallery of 1200 images, our system shows an average segmentation rate of over 98%. iJADE Scene Segmentater segments faster and more powerfully than other contemporary image segmentation methods. The improvement in speed is more significant for large images.
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Abdel-Mottaleb, M., Dimitrova, N., Agnihori, L., Dagtas, S., Jeannin, S., Krishnamachari, S., McGee, T. and Vaithilingam, G (2000) MPEG-7: a content description standard beyond compression. Proceedings of the 42nd Midwest Symposium on Circuits and Systems 2000, USA, 2, 770–777
Aglets. [Online]. Available: http://www.trl.ibm.co.jp/aglets/
N.M. Alina G. Moncef (1997) ArticleTitleParallel image component labeling with watershed transformation IEEE Transactions on Pattern Analysis Machine Intelligence. 19 IssueID5 441–450 Occurrence Handle10.1109/34.589204
R.C. Gonzalez R.E. Woods (2002) Digital Image Processing EditionNumber2 Prentice Hall New Jersey
R.S.T. Lee (2002) ArticleTitleiJADE Authenticator—An invariant multiagent based facial authentication system Internation Journal of Pattern Recognition Artificial Intelligence. 16 IssueID4 418–500
R.S.T. Lee (2003) ArticleTitleiJADE surveillant—an intelligent multi-resolution composite neuro-oscillatory agent-based surveillance system Pattern Recognition. 36 1425–1444 Occurrence Handle10.1016/S0031-3203(02)00255-8
R.S.T. Lee J.N.K. Liu (1999) ArticleTitleAn automatic satellite interpretation of tropical cyclone patterns using elastic graph dynamic link model International Journal of Pattern Recognition Artificial Intelligence. 13 IssueID8 1250–1271
R.S.T Lee J.N.K. Liu (2000) ArticleTitleTropical cyclone identication and tracking system using integrated neural oscillatory elastic graph matching and hybrid RBF network track mining techniques IEEE Transactions on Neural Networks. 11 IssueID3 680–689 Occurrence Handle10.1109/72.846739
R.S.T. Lee J.N.K. Liu (2002) SCENOGRAM—Scene analysis using CompositE Neural Oscillatory-based elastic GRAph Model International Journal of Pattern Recognition Artificial Intelligence. 16 IssueID2 215–237
Lee, R. S. T. and Liu, J. N. K. (2001) iJADE IWShopper—a new age of intelligent mobile web shopping system based on fuzzy-neuro agent technology. in Web Intelligence: Research and Development, Lecture Notes in Artificial Intelligence, N. Zhang, Y. Yao, J. Liu, S. Ohsuga (eds.) Vol. 2198, Springer, Berlin, pp 403–412
Lee, R. S. T. and Liu, J. N. K. iJADE Web-Miner: An Intelligent Agent Framework for Internet Shopping, to appear in IEEE Transactions Knowledge and Data Engineering
Li, C. L. and Lee, R. S. T. (2004) Scene Segmentation Using Solely Excitatory Oscillator Networks (SEON). in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), Innsbruck, Austria, pp. 357–362
Liu, J. N. K. and Lee, R. S. T. (1999) Rainfall forecasting from multiple point source using neural networks. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC’99), Tokyo, Japan, pp. 429–434
MPEG. [Online]. Available: http://www.cselt.it/mpeg/ standards.htm
F. Nack A.T. Lindsay (1999a) ArticleTitleEverything you wanted to know about MPEG-7 Part 1 IEEE Multimedia. 6 IssueID3 65–77 Occurrence Handle10.1109/93.790612
F. Nack A.T. Lindsay (1999b) ArticleTitleEverything you wanted to know about MPEG-7 Part 2 IEEE Multimedia. 6 IssueID4 64–73 Occurrence Handle10.1109/93.809235
C.S. Peskin (1975) Mathematical aspects of heart physiology. Courant Institute of Mathematical Sciences New York University New York 266–278
Voyager. [Online]. Available: http://www.objectspace com/voyager/
D.L. Wang D. Terman (1995) ArticleTitleLocally excitatory globally inhibitory oscillator networks IEEE Transactions on Neural Network. 6 283–286 Occurrence Handle10.1109/72.363423
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Li, G.C.L., Lee, R.S.T. A Real-time Scene Segmentation System using Solely Excitatory Oscillator Networks (SEON). J Intell Manuf 16, 669–678 (2005). https://doi.org/10.1007/s10845-005-4370-2
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DOI: https://doi.org/10.1007/s10845-005-4370-2