Semantic Classification of Byzantine Icons

Intelligent Systems
2009
Issue No. 2 - March/April
Abstract - Semantic Classification of Byzantine Icons

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	Similar Articles Articles by Paraskevi Tzouveli Articles by Nikos Simou Articles by Giorgios Stamou Articles by Stefanos Kollias

March/April 2009 (vol. 24 no. 2)

pp. 35-43

	ASCII Text	x
	Paraskevi Tzouveli, Nikos Simou, Giorgios Stamou, Stefanos Kollias, "Semantic Classification of Byzantine Icons," IEEE Intelligent Systems, vol. 24, no. 2, pp. 35-43, March/April, 2009.

	BibTex	x
	@article{ 10.1109/MIS.2009.34, author = {Paraskevi Tzouveli and Nikos Simou and Giorgios Stamou and Stefanos Kollias}, title = {Semantic Classification of Byzantine Icons}, journal ={IEEE Intelligent Systems}, volume = {24}, number = {2}, issn = {1541-1672}, year = {2009}, pages = {35-43}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2009.34}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Semantic Classification of Byzantine Icons IS - 2 SN - 1541-1672 SP35 EP43 EPD - 35-43 A1 - Paraskevi Tzouveli, A1 - Nikos Simou, A1 - Giorgios Stamou, A1 - Stefanos Kollias, PY - 2009 KW - knowledge representation formalisms and methods KW - artificial intelligence KW - scene analysis KW - image processing KW - computer vision KW - design methodology KW - pattern recognition KW - computing methodologies VL - 24 JA - IEEE Intelligent Systems ER -

Paraskevi Tzouveli, National Technical University of Athens

Nikos Simou, National Technical University of Athens

Giorgios Stamou, National Technical University of Athens

Stefanos Kollias, National Technical University of Athens

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2009.34

The painters of Byzantine and post-Byzantine icons use specific rules and iconographic patterns. On the basis of these rules and patterns, a proposed knowledge-based image analysis system classifies icons. First, the system detects and analyzes the most important facial characteristics, providing rich, yet still imprecise, information about the icon. Then, it expresses the extracted information in terms of an expressive terminology formalized using a description logic (DL). To effectively handle the imprecision, the system uses a fuzzy extension of a DL to produce assertional knowledge. The combination of the terminological and assertional knowledge allows the system to categorize the icons. Tests of the system on a repository of 2,000 Byzantine icons has produced promising results.

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Index Terms:

knowledge representation formalisms and methods, artificial intelligence, scene analysis, image processing, computer vision, design methodology, pattern recognition, computing methodologies

Citation:

Paraskevi Tzouveli, Nikos Simou, Giorgios Stamou, Stefanos Kollias, "Semantic Classification of Byzantine Icons," IEEE Intelligent Systems, vol. 24, no. 2, pp. 35-43, Mar./Apr. 2009, doi:10.1109/MIS.2009.34

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