This thesis is focused on knowledge discovery from databases, especially on methods of classification and prediction. These methods are described in detail. Furthermore, this work deals with multimedia databases and the way these databases store data. In particular, the method for processing low-level image and video data is described. The practical part of the thesis focuses on the implementation of this GMM method used for extracting low-level features of video data and images. In other parts, input data and tools, which the implemented method was compared with, are described. The last section focuses on experiments comparing extraction efficiency features of high-level attributes of low-level data and the methods implemented in selected classification tools LibSVM.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:237154 |
| Date | January 2010 |
| Creators | Jaroš, Ondřej |
| Contributors | Řezníček, Ivo, Chmelař, Petr |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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