Part of IEEE Symposium Series on Computational Intelligence 2011

Constructive understanding of computational principles of multimedia, signal and visual information processing, perception and cognition is one of the most fundamental challenges of contemporary science. Deeper insight into such computational intelligence helps to advance intelligent systems research to achieve robust performance. Implementing integrated principles in artificial systems may help us achieve better, faster and more efficient intelligent systems. The Symposium will address theory and applications of non-traditional computational intelligence approaches in multimedia, signal and vision processing.


Topics

This year's conference includes, but not limited to:

* Bio-inspired Vision
* Neuronal mechanisms of visual processing
* Low level vision and its relationship to biological machinery
* Artificial learning systems for image and information processing
* Evidential reasoning for recognition
* Active visual perception, attention and robot vision
* Functional Magnetic Resonance Imaging (fMRI) studies of visual segmentation and perception
* Application of computational intelligence techniques in areas of:
o Automated target identification and acquisition systems in defense and industry
o Biomedical imaging Applications
o 3D photography
o Face recognition
o Learning to segment camouflaged objects
o Motor actions and robotics
o Image databases and indexing
o Multimedia Signal Processing


Symposium Co-Chairs

Kahn M Iftekharuddin, University of Memphis, USA
Salim Bouzerdoum, University of Wollongong, Australia


Program Committee (tentative)

Azzedine Beghdadi, Université Paris 13
Yoonsuck Choe, Texas A&M University, USA
Karl Gudmundsson, University of Iceland
Minho Lee, Kyungpook National University, Korea
Zicheng Liu, Microsoft Research, USA
Lam Phung, University of Wollongong, Australia
Bertram Shi, Hong Kong University of Science and Technology, Hong Kong
Rufin VanRullen, CNRS, Toulouse, France