916IEEE ICIP14 - Special Session - Multi-agent approaches for image processing an artificial vision
- Oct 9, 2013Our apologies if you receive multiple copies of this announcement.
We are pleased to announce our intention to open a special session "Multi-agent approaches for image processing an artificial vision" in IEEE International Conference on Image Processing that will take place in Paris - France from October 27 to 30, 2014.
However, before propose this special sessions chair of the conference, we need some potential authors and titles that could be included in this special session. If you are interested in, please send us an email with the title of the potential paper, its authors, contact information of the corresponding author, and a short abstract of the contribution
Thanks in advance,
The Special Session organizers.
The image processing research community has developed several solutions often based on specific problems. However, complex images, and even simple images inducing complex problems, let us see a problem of localization and adaptation of several algorithms in the image.
In the literature, multi-agent systems (MAS) have proven that there is a good potential of innovation to develop. Multi-agent systems aim to make cooperate several agents in order to produce global results whose complexity is reduced to simple agents’ behaviors. Thus, simple image processing algorithms can be locally adapted by the agents to produce adapted solutions.
The goal of this session is to increase awareness and interest in agent-based image processing research and agent-based pattern recognition research, encourage collaboration between multi-agent experts and image processing experts, and give a representative overview of current research in the area of application of multi-agent systems for image processing. The session will serve as an inclusive forum for the discussion on ongoing or completed work in both theoretical and practical issues.
This special session will bring theoretical discussions about artificial vision systems, putting together MAS, image processing, and adaptability. The best algorithms adapted to specific problems in image processing, are not always the best algorithms adapted to more complex problems in artificial vision systems. So contributions that propose local systems that are adapted to a more global theoretical system will also be discussed.
Carla Susana Correia Pereira
Dr. Jason Mahdjoub
Carla Pereira received the M.S. degree in biomedical engineering from University of Minho, Braga, Portugal, in 2009. She is currently working toward the Ph.D. degree at the Algoritmi Center at University of Minho. Her research interests include medical image, image analysis and processing, pattern recognition and artificial intelligence.
Jason Mahdjoub has obtained a Ph.D. degree at the university of Reims in France. He worked for the realization of an artificial vision system based on multi-agent systems and on a complex systems paradigm.