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Program Systems: Theory and Applications, 2014, Volume 5, Issue 4, Pages 159–170
(Mi ps131)
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This article is cited in 1 scientific paper (total in 1 paper)
Hardware, software and distributed supercomputer systems
Automatic tagging system based on mivar technologies
Yurii Mayborodaa, Mikhail Syntsova, Aleksei Ozerina, Artur Kuzina, Oleg Varlamovb a Moscow Institute of Physics and Technology (State University)
b Moscow State Automobile and Road Technical University
Abstract:
This article considers the problem of development of an automatic tagging system. The review of the existing problems and software products in the sphere of image recognition is presented. For solving the problem of classification of all objects which exist in an image it is proposed to develop the modul of context ambiguity elimination and the control modul which controls intelligent launching of the other system moduls. These moduls use mivar technologies: mivar knowledge base and mivar method of logical inference. The article presents the modul scheme of the system and also the description of how the moduls of the system work. (In Russian).
Key words and phrases:
artificial intelligence, image recognition, automatic tagging, mivar, mivar technologies.
Received: 05.12.2014 Accepted: 25.12.2014
Citation:
Yurii Mayboroda, Mikhail Syntsov, Aleksei Ozerin, Artur Kuzin, Oleg Varlamov, “Automatic tagging system based on mivar technologies”, Program Systems: Theory and Applications, 5:4 (2014), 159–170
Linking options:
https://www.mathnet.ru/eng/ps131 https://www.mathnet.ru/eng/ps/v5/i4/p159
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Abstract page: | 214 | Full-text PDF : | 136 | References: | 32 |
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