Establishing correspondences between attribute spaces and complex concept spaces using meta-PGN classifier

Krassimira Ivanova, Iliya Mitov, Peter Stanchev, Phillip Ein-Dor, Koen Vanhoof

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we present one approach for extending the learning set of a classification algorithm with additional metadata. It is used as a base for giving appropriate names to found regularities. The analysis of correspondence between connections established in the attribute space and existing links between concepts can be used as a test for creation of an adequate model of the observed world. Meta-PGN classifier is suggested as a possible tool for establishing these connections. Applying this approach in the field of content-based image retrieval of art paintings provides a tool for extracting specific feature combinations, which represent different sides of artists' styles, periods and movements.

Original languageEnglish
Pages (from-to)71-77
Number of pages7
JournalDigital Presentation and Preservation of Cultural and Scientific Heritage
Volume2
StatePublished - 16 Feb 2017
Externally publishedYes
Event2nd International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2012 - Veliko Tarnovo, Bulgaria
Duration: 18 Sep 201221 Sep 2012

Keywords

  • Categorization
  • Classification
  • Content-based image retrieval (CBIR)
  • Data mining
  • Metadata
  • Multimedia semantics
  • Pattern recognition

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