9.6 Conclusion
In this chapter, the author has introduced a fully automatic and integrated intelligent neuro-agent based on MPEG-7 — the iJADE Surveillant. This integrates various contemporary technologies including intelligent multiagent technology (iJADE model) as the system intelligent kernel; automatic multi-resolution scene segmentation using the composite neuro-oscillatory wavelet-based (CNOW) model; automatic facial pattern extraction using the active contour model (ACM); and invariant facial pattern recognition based on the elastic graph dynamic link model (EGDLM). Based on the latest MPEG-7 standard, the iJADE Surveillant also demonstrates how an intelligent multimedia application can be implemented using the MPEG-7 architecture as the system framework for future development in the new millennium, especially in the area of mobile e-commerce and intelligent multimedia processing applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
(2006). iJADE Surveillant — A Multi-resolution Neuro-oscillatory Agent-Based Surveillance System. In: Fuzzy-Neuro Approach to Agent Applications. Springer Series in Agent Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30984-5_9
Download citation
DOI: https://doi.org/10.1007/3-540-30984-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21203-4
Online ISBN: 978-3-540-30984-0
eBook Packages: Computer ScienceComputer Science (R0)