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Workshop
5th International Workshop on Image Mining. Theory and Applications - IMTA-5 2015

11 - 14 March, 2015 - Berlin, Germany

In conjunction with the 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP 2015

CO-CHAIRS

Igor Gurevich
Federal Research Center "Computer Science and Control"of the Russian Academy of Sciences
Russian Federation
 
Brief Bio
Dr.-eng. [diploma engineer (automatic control and electrical engineering), 1961, Moscow Power Engineering Institute, Moscow, USSR]; Dr. (mathematical cybernetics), 1975, Moscow Institute of Physics and Technology, Moscow, USSR. Head of Department at the Federal State Institution of Science “Dorodnicyn Computing Centre of the Russian Academy of Sciences (DCC), Moscow, RF; assistant professor at the Computer Science faculty, Moscow Lomonosov State University. He has worked from 1960 till now as an engineer and researcher in industry, medicine, and universities and from 1985 in the USSR/Russian Academy of Sciences. Area of expertise: mathematical theory of image analysis, image understanding, mathematical theory of pattern recognition, theoretical computer science, medical informatics, applications of pattern recognition and image analysis techniques in medicine, knowledge-based systems. 2 monographs (in co-authorship), 235 papers in peer reviewed journals and proceedings; 5 patents. He is scientific secretary of the National Committee for Pattern Recognition and Image Analysis of the Russian Academy of Sciences, member of the IAPR governing board (representative from RF), IAPR fellow, Vice-Chairman of the IAPR technical committee 16 "Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis". He has been the PI of many R&D projects as part of national and international research programs. Vice-editor-in-chief of Pattern Recognition and Image Analysis journal, member of editorial boards of several international scientific journals, member of the committees of many international scientific conferences.
Heinrich Niemann
University of Erlangen-Nuernberg
Germany
 
Bernd Radig
Technische Universitaet Muenchen
Germany
 
Ovidio Salvetti
National Research Council of Italy - CNR
Italy
 
Brief Bio
Director of research at the Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Pisa. Working in the field of theoretical and applied computer vision. His fields of research are image analysis and understanding, pictorial information systems, spatial modeling, and intelligent processes in computer vision. Coauthor of four books and monographs and more than 300 technical and scientific articles, with ten patents regarding systems and software tools for image processing. Has served as a scientific coordinator of several national and European research and industrial projects, in collaboration with Italian and foreign research groups, in the fields of computer vision and high-performance computing for diagnostic imaging. Member of the editorial boards of the international journals Pattern Recognition and Image Analysis and G. Ronchi Foundation Acts. Currently the CNR contact person in ERCIM (the European Research Consortium for Informatics and Mathematics) for the Working Group on Image and Video Understanding and a member of IEEE and of the steering committee of a number of EU projects. Head of the ISTI Signals and Images Laboratory.

SCIENTIFIC SECRETARIES

Dr. Vera Yashina
Dorodnicyn Computing Center of the Russian Academy of Sciences, Moscow
Russian Federation

SCOPE

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 and representations allowable 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 of mathematical theory of image analysis/understanding/recognition and mathematical theory of pattern 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 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, representation, 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 appeared not so long ago 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 participants will enjoy the opportunity 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, automation of scientific research, industrial applications and many other domains generating breakthrough and difficult application tasks.

TOPICS OF INTEREST

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
    • Descriptive Techniques and Data Representation Problems
    • Structural and Syntactic Techniques
    • Multiple Classifiers
    • Pattern Recognition Techniques in Image-Mining Environment
    • Other Mathematical Techniques
    • Machine Learning
  • 2. Image Models, Representations and Features
  • 3. Automation of Image Mining
    • Image Mining, Computer Vision and Knowledge-Based Systems
    • Image Databases
    • Image Knowledge Bases
    • Image Mining Technologies
    • Biomedical Image Mining
    • Knowledge Representation and Linguistic Tools
      • Image Science Ontologies
      • Image Science Thesauri
  • 4. Applied Problems
    • Bioinformatics
    • Medical Applications
    • Industrial Applications
    • Image Analysis Technologies
    • Other Important and Interesting Applied Problems.

INTENDED AUDIENCE

Professionals, researchers and engineers, PhD students and graduate students interested in Mathematical Theory of Image Analysis, in Problem-Solving via modern mathematical techniques, in intellectual decision making, designers of automated image analysis systems.

PREREQUISITES FOR PARTICIPANTS

  • Technical University course in mathematics including a course in general algebra
  • Technical University courses in pattern recognition and/or image analysis
  • Interest to theory and methodology of image analysis and to new mathematical techniques for pattern recognition and/or image analysis

IMPORTANT DATES

Paper Submission: January 15, 2015 (expired)
Authors Notification: January 26, 2015 (expired)
Camera Ready and Registration: February 4, 2015 (expired)

PAPER SUBMISSION

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: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.

PUBLICATIONS

After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

REGISTRATION INFORMATION

At least one author of an accepted paper must register for the workshop. If the registration fees are not received by January 30, 2015 the paper will not be published in the workshop proceedings book.

SECRETARIAT CONTACTS

VISIGRAPP Workshops - IMTA-5 2015
e-mail: visigrapp.secretariat@insticc.org

IMTA WORKSHOP

Dr. Vera Yashina
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