CIMSIVP 2011 - CIMSIVP 2011 2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing

CIMSIVP 2011
2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing
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:
Automated target identification and acquisition systems in defense and industry
Biomedical imaging Applications
3D photography
Face recognition
Learning to segment camouflaged objects
Motor actions and robotics
Image databases and indexing
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