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PCM
2004
Springer

Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval

9 years 5 months ago
Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval
The success of the relevance feedback search paradigm in image retrieval is influenced by the selection strategy employed by the system to choose the images presented to the user for providing feedback. Indeed, this strategy has a strong effect on the transfer of information between the user and the system. Using SVMs, we put forward a new active learning selection strategy that minimizes redundancy between the examples. We focus on region-based image retrieval and we expect our approach to produce better results than existing selection strategies. Experimental evidence in the context of generalist image databases confirms the efectiveness of this selection strategy.
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PCM
Authors Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
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