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Fusion vs. Two-Stage for Multimodal Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6611))

Abstract

We 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.

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© 2011 Springer-Verlag Berlin Heidelberg

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Arampatzis, A., Zagoris, K., Chatzichristofis, S.A. (2011). Fusion vs. Two-Stage for Multimodal Retrieval. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_88

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  • DOI: https://doi.org/10.1007/978-3-642-20161-5_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20160-8

  • Online ISBN: 978-3-642-20161-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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