5. Conferences, Workshops, Meetings
Dr.-Eng. Igor Gurevich
Dorodnicyn Computing Center, the Russian Academy of Sciences, Moscow, the Russian Federation
Professor Dr. Heinrich Niemann
Friedrich-Alexander-University of Erlangen-Nuremberg, Germany
Professor Ovidio Salvetti
Institute of Information Science and Technologies, Italian National Research Council, Pisa, Italy
The IMTA-3 will continue the series of workshops devoted to modern mathematical techniques of image mining and to corresponding application problems. The IMTA-3-2010 will be conducted in cooperation with the Technical Committee No.16 "Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis" of the International Association for Pattern Recognition and with the National Committee for Pattern Recognition and Image Analysis of the Russian Academy of Sciences. The workshop will consist of a small number of invited talks, contributed talks, and informal discussions, and a wrap-up session.
Automation of image mining is one of the most important strategic goals in image analysis, recognition and understanding both in scientific and technological aspects. The main subgoals are developing and applying of mathematical theory for constructing image models accepted by efficient pattern recognition algorithms and for constructing standardized representation and selection of image analysis transforms. Automation of image-mining is possible by combined application mathematical techniques for image analysis, understanding and recognition.
Automation of image processing, analysis, estimating and understanding is one of the crucial points of theoretical computer science having decisive importance for applications, in particular, for diversification of solvable problem types and for increasing the efficiency of problem solving.
The role of an image as an analysis and estimation object is determined by its specific and inalienable informational properties. Image is a mixture and a combination of initial (raw, “real”) data and its representation means, of computational procedures results and of the physical nature and of the models of objects, events and processes to be represented via an image.
The specificity, complexity and difficulties of image analysis and estimation (IAE) problems stem from necessity to achieve some balance between such highly contradictory factors as goals and tasks of a problem solving, the nature of visual perception, ways and means of an image acquisition, formation, reproduction and rendering, and mathematical, computational and technological means allowable for the IAE.
The mathematical theory of image analysis is not finished and is passing through a developing stage. It is only recently came understanding of the fact that only intensive creating of comprehensive mathematical theory of image analysis and recognition (in addition to the mathematical theory of pattern recognition) could bring a real opportunity to solve efficiently application problems via extracting from images the information necessary for intellectual decision making. The transition to practical, reliable and efficient automation of image-mining is directly dependent on introducing and developing of mathematical means for IAE.
The purpose of the workshop is to discuss a methodology, mathematical and computational techniques for automation of image mining on the base of mathematical theory for IAE. Another important task of the workshop is to discuss linguistic tools for image mining – image knowledge bases and image science ontologies – and to estimate the prospects of the algebraic approach in representation of image analysis knowledge in this environment. The interpretation of mathematical and linguistic techniques will be illustrated by application problems, mainly from biology and medicine.
This workshop is intended to cover, but it is not limited to, the following topics:
Professionals, researchers, PhD students and graduate students interested in Mathematical Theory of Image Analysis, designers of automated image analysis systems.
Prerequisites for participants
Paper Submission: February 12, 2010
Authors Notification: February 22, 2010
Final Paper Submission and Registration: March 01, 2010
Workshop Program Committee
Professor Sergey Ablameyko, United Institute of Informatics Problems, National Academy of Sciences of Belarus, Belarus
Professor Goesta H.Granlund, Linkoping University, Linkoping, Sweden
Professor Heikki Kalviainen, Lappeenranta University of Technology, Lappeenranta, Finland
Professor Dr. Valeriy Kirichuk, Institute of Automation and Electrometry, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation
Professor Josef Kittler, University of Surrey, Guildford, United Kingdom
Professor Dr. Anatoly Nemirko, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, Russian Federation
Dr. Yury Obukhov, Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Moscow, Russian Federation
Professor Jussi Parkkinen, University of Joensuu, Finland
Professor Igor Persiantsev, Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russian Federation
Professor Dr. Bernd Radig, Technical University of Munich, Munich, Germany
Professor Gerhard Ritter, University of Florida, Gainesville, FL, USA
Dr. Vladimir Ryazanov, Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russian Federation
Dr. Jose Ruiz-Shulcloper, the Advanced Technologies Applications Center, Cuba
Professor Tieniu Tan, National Pattern Recognition Laboratory, Beijing, China
Professor Yuri Vasin, Research Institute for Applied Mathematics and Cybernetics, Lobachevsky State University of Nizhni Novgorod, Nizhni Novgorod, Russian Federation
Professor Dr. Patrick S.P. Wang, Northeastern University, USA
Professor Nikolay Zagoruiko, Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation
Professor Yuri Zhuravlev, Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russian Federation
Prospective authors are invited to submit papers in any of the topics listed above. Instructions for preparing the manuscript (in Word and Latex formats) are available at the conference “Paper Templates” web page. Please also check the web page with the Submission Guidelines. Papers should be submitted electronically via the web-based submission system.
All papers will be peer-reviewed. The criteria for accepting the papers will be as follows.
A paper would be accepted if it satisfies to any of the following conditions and corresponds to the subject matter of IMTA-2010 in a broad sense:
a) a reviewer likes it in general;
b) it is known that its author is a qualified person well known in the field;
c) a paper has a brand name - it came from a prominent scientific school, institution, university;
d) a paper includes a new idea, approach, etc., even without any practical confirmation;
e) a paper is devoted to an "interesting" application;
f) a paper is devoted to a new technique for an old application problem;
g) a paper is devoted to a new application for an old technique;
h) a paper is devoted to a problem or a topic important to the field.
All accepted papers will be published in the workshop proceedings book, under an ISBN reference, and in CD-ROM support. Full revised texts of all papers presented at the workshop will be published in the special issue of the international journal “Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications” (MAIK “Nauka/Interperiodica” Pleiades Publishing, Moscow, distributed worldwide by SPRINGER), 2011.
At least one author of an accepted paper must register for the workshop. If the registration fees are not received by March 08, 2010 the paper will not be published in the workshop proceedings book.
VISIGRAPP Workshops – IMTA 2010
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Dr. Vera Yashina email@example.com