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Rüger, Stefan; Yavlinsky, Alexei; Heesch, Daniel and Pickering, Marcus J.
(2004).
DOI: https://doi.org/10.1109/ICASSP.2004.1326726
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.
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- Item ORO ID
- 9087
- Item Type
- Conference or Workshop Item
- Extra Information
- vol 3, pages 1040-1043
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Depositing User
- Aneta Tumilowicz