Special Session: Machine Learning for Visual Information Analysis and Security

Theoretical and practical aspects of machine learning algorithms and systems involving applications in multimedia, medicine, biology, security, virtual environments and robotics.

Organized in conjunction with 13th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2014) Zakopane, Poland, June 1-5, 2014, http://www.icaisc.eu/

Machines that can see and understand what they see are the ultimate goal of Visual Information Analysis and content-based image retrieval. As the development progresses, it transpires that there are areas such searching large multimedia databases where computers excel humans. Creating efficient and reliable vision systems will change many aspects of life, manufacturing, robotics or healthcare. Having in mind the above goals, the aim of the workshop is to present and discuss recent advances and innovative applications of machine learning for visual information processing. A special focus of workshop is the large-scale systems in multimedia, medicine, biology, genetics, security, virtual environments and robotics. The workshop encourages presenting new theoretical frameworks and practical systems.

Topics of particular interest to MLVIAS include, but are not limited to:
· Feature design and codebook learning systems
· Deep learning neural networks
· Sparse invariant representations
· Bag of features systems
· Soft computing systems for computer vision
· Theoretical analysis of performance.
· Image and video analysis and retrieval
· Visual tracking
· Visual data mining
· Augmented reality
· Computational photography

Accepted papers will be published in the Springer Lecture Notes in Artificial Intelligence Series. Submission of papers is the same as for the ICAISC 2014.

Special Session organizers
Rafal Scherer
Częstochowa University of Technology, Poland
rafal.scherer@iisi.pcz.pl

Slava Voloshynovskiy
University of Geneva, Switzerland