Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier
DOI:
https://doi.org/10.55630/dipp.2012.2.28Keywords:
Multimedia Semantics, Metadata, Data Mining, Pattern Recognition, Classification, Categorization, Content-Based Image Retrieval (CBIR)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.References
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