Rüger, Stefan; Yavlinsky, Alexei; Heesch, Daniel and Pickering, Marcus J.
(2004).
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1109/ICASSP.2004.1326726 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
The paper reports on experimental results obtained from a performance comparison of feature combinations strategies in content based image retrieval. The use of support vector machines is compared to CombMIN, CombMAX, CombSUM and BordaFuse combination strategies, all of which are evaluated on a carefully compiled set of Corel images and the TRECVID 2003 search task collection.
| Item Type: | Conference or Workshop Item |
|---|---|
| Extra Information: | vol 3, pages 1040-1043 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 9087 |
| Depositing User: | Aneta Tumilowicz |
| Date Deposited: | 01 Oct 2007 |
| Last Modified: | 07 Dec 2018 09:06 |
| URI: | http://oro.open.ac.uk/id/eprint/9087 |
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