Multimodal image retrieval over a large database

Authors:
Débora Myoupo;Adrian Popescu;Hervé Le Borgne;Pierre-Alain Moëllic
Affiliations:
CEA, LIST, Laboratoire d'ingénierie de la connaissance multimédia et multilingue, Fontenay-aux-Roses, France;Computer Science Dept., Télécom Bretagne;CEA, LIST, Laboratoire d'ingénierie de la connaissance multimédia et multilingue, Fontenay-aux-Roses, France;CEA, LIST, Laboratoire d'ingénierie de la connaissance multimédia et multilingue, Fontenay-aux-Roses, France
Venue:
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Year:
2009

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Abstract

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.