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 language | English |
|---|---|
| Pages (from-to) | 71-77 |
| Number of pages | 7 |
| Journal | Digital Presentation and Preservation of Cultural and Scientific Heritage |
| Volume | 2 |
| State | Published - 16 Feb 2017 |
| Externally published | Yes |
| Event | 2nd International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage, DiPP 2012 - Veliko Tarnovo, Bulgaria Duration: 18 Sep 2012 → 21 Sep 2012 |
Funding
| Funders | Funder number |
|---|---|
| High Level Semantic Analysis of Bulgarian and Israel Collections | |
| Bulgarian National Science Fund | |
| Tel Aviv University | |
| Bulgarian Academy of Sciences |
Keywords
- Categorization
- Classification
- Content-based image retrieval (CBIR)
- Data mining
- Metadata
- Multimedia semantics
- Pattern recognition