The TC16 on “Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis” is glad to announce that the IMTA-VIII workshop will take place as a satellite event of ICPR 2022 (Montreal, Canada, August 21-25, 2022).

The main purpose of the IMTA VIII Workshop is to provide the fusion of modern mathematical approaches and techniques for image analysis/pattern recognition with the requests of applications using an image as initial data representation.

Participants will enjoy the opportunity to discuss methodological aspects and mathematical and computational techniques for automation of image mining on the base of mathematical theory for pattern recognition and image analysis. The workshop aims at discussing artificial intelligence techniques, in particular, linguistic and knowledge engineering tools for image mining and to estimate the prospects of the algebraic approaches in representation of image analysis knowledge. The interpretation of mathematical and linguistic techniques will be illustrated by application problems, mainly from biology and medicine, from automation of scientific research, industrial applications and of many other domains generating breakthrough and difficult application tasks.

TOPICS

Topics of interest include, but are not limited to, the following:

• Methodological advances in image analysis and pattern recognition with a special focus on
  • Algebra
  • Discrete mathematics
  • Computational Topology
  • Machine Learning
• New Mathematical Techniques in Image Mining
  
  • Algebraic Approaches
  • Image Algebras, Descriptive Image Algebras and Lattice Algebras
  • Lattice-based Deep Hierarchical Representations and Neural Networks
  • Discrete Mathematics Techniques
  • Descriptive Image Analysis
  • Ill-Structured Data Representation and Processing Problems
  • Structural and Syntactic Techniques
  • Multiple Classifiers and Fusion of Algorithms
  • Pattern Recognition Techniques in Image-Mining Environment
  • Other Mathematical Techniques
• Image Models, Representations and Features
  
  • Feature Detectors
  • Features from Autoencoder Networks
  • Formalized Image Models
  • Spatial Data Representations (Combinatorial Structures of Local Neighborhood)
  • Dual Image Representations
• Automation of Image and Data Mining
  
  • Image and Ill-Structured Data Analysis
  • Image Mining, Computer Vision and Knowledge-Based Systems
  • Image Databases
  • Image Mining Technologies
• Artificial Intelligence Techniques in Image Mining<
  
  • Knowledge Representation, Processing, Extracting and Analysis
  • Image Knowledge Bases
  • Linguistic Tools for Image Mining (Image Science Ontologies; Image Science Thesauri)
• Applied problems
  • Bioinformatics
  • Bioengineering
  • Medical applications
  • Industry and Economics
  • Cultural Heritage
  • Other Important, Difficult and Interesting Applied Problems

PAPER SUBMISSION

We invite the submission of papers describing work in the domains suggested above or in closely-related areas. Papers should be submitted in English via EasyChair: https://easychair.org/conferences/?conf=imtaviii2022.

Submitted papers should be at least 3 pages (page format - 1 column; font - Times new Roman, font size - 12, 30 lines, 60 characters per line (with spaces), 2 intervals). Maximum size of paper is not limited but the recommended length is from 3 to 10 pages.

Accepted submissions will be presented either as oral or posters at the workshop.

IMPORTANT DATES

Workshop submission deadline: May 24th, 2022
Workshop author notification: May 31st, 2022
Camera-ready submission: June 5th, 2022
The deadlines are strict and will not be extended.

PROCEEDINGS

Proceedings will be published in a Special Issue "Proceedings of IMTA-VIII-2022" of the International Journal of the Russian Academy of Sciences "Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications" (PRIA, Vol. 32, No.3, 2022). The journal is distributed worldwide by Springer. PRIA is abstracted and/or indexed in the Web of Sciences, SCOPUS, ACM Digital library, CNKI, EBSCO Discovery Service, EI Compendex, Gale, Gale Academic OneFile, Google Scholar, INSPEC, OCLC WorldCat Discovery Service, ProQuest ABI/INFORM, ProQuest Advanced Technologies & Aerospace Database, ProQuest Business Premium Collection, ProQuest Central, ProQuest Computer and Information System Abstracts, ProQuest Computing Database, ProQuest Materials Science & Engineering Database, ProQuest Science Database, ProQuest SciTech Premium Collection, ProQuest Technology Collection, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon, Russian Science Citation Index on the Web of Science Platform. Each paper in PRIA has DOI. See PRIA - http:// pleiades.online and http://link.springer.com After ICPR 2022, the extended texts of the papers presented at the IMTA-VIII-2022, selected and recommended by the IMTA Committee, will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. The notification to authors will be sent in due time.

For updated papers submission instructions and important dates, please see: http://iapr-tc16.eu/IMTA/

IAPR Governing Board has approved the new TC16 structure during the meeting organized at ICPR 2018 held in Beijing (China) from August 20 to August 24, 2018.  

Davide Moroni has been appointed as Chair and will be assisted by the Vice-Chairs Dietrich Paulus and Vera Yashina. Dr.-Eng. Igor Gurevich has been appointed Honorary Chair. This new structure will be in charge of the term 2018-2020.

The TC16 was proposed by the Russian Federation "Association for Pattern Recognition and Image Analysis" and created in 1996 (at the meeting of the IAPR Governing Board in Vienna, 13th ICPR). The “Association” represented in the IAPR the Russian Academy of Sciences till 2006, then the representative of the RAS in the IAPR become the “National Committee of the Russian Academy of Sciences for Pattern Recognition and Image Analysis”. TC 16 successfully worked till 2012, but from 2012 its activity was blocked without reasonable explanations of scientific nature by the prejudiced decision of some IAPR exco members. During 6 years prominent scientists working in the field of TC 16 scientific scope (including full member of the National Academy of Sciences of Byelarus Republick professor S.Ablameyko, Dr.-Eng/ I.Gurevich, professor S.Marinari, Dr. D.Moroni, professor A.Nemirko, professor H.Niemann, professor D.Paulus, professor B.Radig, professor G.Ritter, professor O.Salvetti, full member of the RAS professor V.Soifer, professor C.Suen, Dr. V.Yashinamade and many others) made a lot of efforts to restore the TC 16. As a result in 2019 the TC 16 was “restarted”. Unfortunately, after this artificial interval, the new leadership of TC 16 has to begin from the very beginning.

The first step of a new TC 16 life in 2019 was forming TC 16 Board. At the moment it includes the following scientists:

• TC16 chair: Dr. Davide Moroni, Institute of Information Science and Technologies, Pisa, Italy, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
• TC16 vice-chair: Prof. Dietrich Paulus, University Koblenz-Landau, Koblenz, Germany, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
• TC16 vice-chair: Dr. Vera Yashina, Federal Research Center “Computer Sciences and Control” of the Russian Academy of Sciences, Moscow, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
• TC16 honorary chair: Dr.-Eng. Igor Gurevich, Federal Research Center “Computer Sciences and Control” of the Russian Academy of Sciences, Moscow, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
• TC16 Board member: Prof. Dr. Heinrich Niemann, Friedrich-Alexander-University of Erlangen-Nuremberg, Germany, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
• TC16 Board member: Prof. Dr. Bernd Radig, Munich Technical University, Munich, Germany, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
• TC16 Board member: Prof. Dr. Gerhard Ritter, University of Florida, Gainesville, USA, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
• TC16 Board member: Prof. Ovidio Salvetti, Institute of Information Science and Technologies "A. Faedo" (ISTI) National Research Council of Italy (CNR) - Research Area of Pisa, e-mail This email address is being protected from spambots. You need JavaScript enabled to view it.,
• TC16 Secretary: Dr. Maria Antonietta Pascali, Institute of Information Science and Technologies "A. Faedo" (ISTI) National Research Council of Italy (CNR) - Research Area of Pisa, e-mail This email address is being protected from spambots. You need JavaScript enabled to view it.

The Main Goals and Means of TC 16

The domain of scientific specificity of TC 15 is in a broad sense mathematical theory of image analysis and the mathematical theory of pattern recognition.

The Goals are:

1. to unite the Algebraic, Discrete Mathematics and otherwise mathematically inspired scientists, engineers, researchers, IT-people involved in Pattern Recognition and Image Analysis for providing them new opportunities to know and understand each other better and to communicate regularly.
2. to obtain a body for discussing actual and prospective lines of research and exchange of the results in Algebraic and Discrete Mathematics Problems and Techniques inspired by Pattern Recognition and Image Analysis.

The means which TC 16 uses to achieve the goals are more or less standard for IAPR TCs: the organization of workshops and conferences, the preparation of publications (survey articles, state of the art and position papers, tutorials, etc.), the design of databases, support of communication between members, exchange by results, creation and collection of educational materials, etc.

The Scope and the Motivation

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 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 of different 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 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 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 recently came an understanding of the fact that only intensive developing of a 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 an image of the information necessary for intelligent decision making. The transition to practical, reliable and efficient automation of image mining is directly dependent on introducing and developing new mathematical means for IAE.

Invitation for the Next Steps

The plans for TC 16 further activity will be outlined in the next issue of IAPR Newsletter and at TC 16 site http://iapr-tc16.isti.cnr.it/index.php/survey.

With this respect, the TC 16 Board invites the interested people – scientists, researchers, engineers, specialists, PhD and graduate students to join the IAPR Technical Committee 16 and to take part in its diverse and promising activity. As a mild introduction in TC16 activities, people are invited to visit http://iapr-tc16.isti.cnr.it/index.php/survey and to register yourself by filling in the questionary of the IAPR TC16. Your precious contribution will help us to better characterize TC16 main topics, potentially merging with other emerging research trends, and drive future actions of the organization. A report of the Survey of the results of registration will be published, in particular, at http://iapr-tc16.isti.cnr.it/.

In case of any questions, You may apply via e-mail to TC 16 Secretary or to any member of the TC 16 Board.

TC 16 Editors

Dr/-Eng. Igor Gurevich

Dr. Vera Yashina