The First International Workshop on Image Mining. Theory and Applications (IMTA-2008) 22 January, 2008 - Funchal, Madeira - Portugal http://www.visapp.org/IMTA.htm In conjunction with the 3rd International Conference on Computer Vision Theory and Applications (VISAPP 2008) Workshop Chairs Dr.-Eng. Igor Gurevich Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russian Federation Professor Dr. Heinrich Niemann Friedrich-Alexander-University of Erlangen-Nürnberg, Germany Professor Ovidio Salvetti Institute of Information Science and Technologies, Italian National Research Council, Pisa, Italy Scope Automation of image mining is one of the most important strategic goals in image analysis, recognition and understanding science and technologies. The main subgoals are developing and applying of mathematical theory for constructing image models accepted by efficient pattern recognition algorithms and for standardized representation and selection of image analysis transforms. Automation of image-mining is possible by combined application 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 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 and physical nature and 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 image analysis and estimation. 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. The workshop will be organized 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. The workshop will consist of a small number of invited talks, contributed talks, and informal discussions, and a wrap-up session. This workshop is intended to cover, but it is not limited to, the following topics: 1. New Mathematical Techniques in Image Mining · Algebraic Approaches · Discrete Mathematics Techniques · Structural and Syntactic Techniques · Multiple Classifiers · Other Mathematical Techniques 2. Image Models and Image Features 3. Automation of Image Mining · Image Mining, Computer Vision and Knowledge-Based Systems · Image Databases · Image Knowledge Bases · Image Mining Technologies · Linguistic Tools o Image Science Ontologies o Image Science Thesauri 4. Applied Problems Important dates Paper Submission: November 5, 2007 Authors Notification: November 12, 2007 Final Paper Submission and Registration: November 19, 2007 Paper Submission Prospective authors are invited to submit papers in any of the areas listed above. All papers must be written in English, and the length should not exceed 10 pages for oral presentations and 6 pages for posters (including figures and tables). Instructions for preparing the manuscript (in Word and Latex formats) are available at the following web page: http://www.visapp.org/Paper_Templates.htm. Papers (preferably in PDF format) should be submitted electronically via the web-based submission system at http://www.visapp.org/Paper_Submission.htm. Workshop Proceedings All accepted and registered papers will be published in a workshop proceedings book with an ISBN reference, which will be issued by INSTICC Press. There will be also a CD-ROM publication. A selection of the best selected papers will be considered for improvement and publication in a special issue of Image and Vision Computing Journal. 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", Moscow, Pleiades Publishing distributed worldwide by SPRINGER), 2008. Registration Information At least one author of an accepted paper must register for the workshop. If the registration fees are not received by November 19, 2007, the paper will not be published in the proceedings. Secretariat Contacts VISAPP Workshops - IMTA-2008 e-mail: workshops@visapp.org igourevi@ccas.ru