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Improving Image Representation with Relevance Judgements from the Searchers

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Advances in Information Retrieval (ECIR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3408))

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Abstract

In visual information retrieval, a semantic gap exists due to the poor match between machine-understood content of an information object and the userpercepted one. The mismatch of perception results in di.culties for a user in formulating the query, and consequently in inability for the retrieval system to produce satisfactory answers. Adding searcher’s relevance judgements for (intermediary) search results is known to improve the retrieval. With relevance feedback the system learns the user’s information need through interaction.

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Author information

Authors and Affiliations

  1. University of Twente, P.O.Box 217, 7500 AE, Enschede, The Netherlands

    Liudmila V. Boldareva

Authors
  1. Liudmila V. Boldareva
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Editors and Affiliations

  1. Departamento de Electrónica y Computación, Universidad de Santiago de Compostela, Spain

    David E. Losada

  2. Departamento de Ciencias de la Computación e Inteligencia Artificial E.T.S.I. Informática y de Telecomunicación, Universidad de Granada, 18071, Granada, Spain

    Juan M. Fernández-Luna

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© 2005 Springer-Verlag Berlin Heidelberg

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Boldareva, L.V. (2005). Improving Image Representation with Relevance Judgements from the Searchers. In: Losada, D.E., Fernández-Luna, J.M. (eds) Advances in Information Retrieval. ECIR 2005. Lecture Notes in Computer Science, vol 3408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31865-1_49

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  • DOI: https://doi.org/10.1007/978-3-540-31865-1_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25295-5

  • Online ISBN: 978-3-540-31865-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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