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CIVR
2006
Springer

Image Searching and Browsing by Active Aspect-Based Relevance Learning

9 years 7 days ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning and interaction strategies, capitalizing on the transparency of the aspect-based framework. Additionally, we demonstrate that, relative to other schemes, aspect-based relevance learning upholds its retrieval performance well under feedback consisting mainly of example images that are only partially relevant.
Mark J. Huiskes
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CIVR
Authors Mark J. Huiskes
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