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CLEF
2009
Springer

Multimodal Image Retrieval over a Large Database

13 years 1 months ago
Multimodal Image Retrieval over a Large Database
We introduce a new multimodal retrieval technique which combines query reformulation and visual image reranking in order to deal with results sparsity and imprecision, respectively. Textual queries are reformulated using Wikipedia knowledge and results are then reordered using a k-NN based reranking method. We compare textual and multimodal retrieval and show that introducing visual reranking results in a significant improvement of performance.
Débora Myoupo, Adrian Popescu, Hervé
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where CLEF
Authors Débora Myoupo, Adrian Popescu, Hervé Le Borgne, Pierre-Alain Moëllic
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