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Fusion vs. Two-Stage for Multimodal Retrieval

dc.contributor.authorArampatzis, Avi
dc.contributor.authorZagoris, Konstantinos
dc.contributor.authorChatzichristofis, Savvas A.
dc.description.abstractWe compare two methods for retrieval from multimodal collections. The first is a score-based fusion of results, retrieved visually and textually. The second is a two-stage method that visually re-ranks the top-K results textually retrieved. We discuss their underlying hypotheses and practical limitations, and contact a comparative evaluation on a standardized snapshot of Wikipedia. Both methods are found to be significantly more effective than single-modality baselines, with no clear winner but with different robustness features. Nevertheless, two-stage retrieval provides efficiency benefits over fusion.en_UK
dc.relation.ispartofseriesThe 33rd European Conference On Information Retrieval (ECIR2011);advances in Information retrieval, , Dublin, Ireland, April 18-21, 2011. Proceedings
dc.rights© Springer-Verlag Berlin Heidelberg 2011en_UK
dc.subjectResearch Subject Categories::TECHNOLOGYen_UK
dc.subjectretrieval methodsen_UK
dc.subjectmultimodal collectionsen_UK
dc.subjecttop Ken_UK
dc.titleFusion vs. Two-Stage for Multimodal Retrievalen_UK
dc.title.alternativePart of the Lecture Notes in Computer Science book series (LNCS, volume 6611)en_UK

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© Springer-Verlag Berlin Heidelberg 2011
Except where otherwise noted, this item's license is described as © Springer-Verlag Berlin Heidelberg 2011