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Caption and Query Translation for Cross-Language Image Retrieval

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 3491))

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Abstract

For many cross-language retrieval tasks, the predominant approach is to translate the query into the language of the document collection (target language). This often gives results as good as, if not better, than translating the document collection into the query language (source language). In this paper, we evaluate query versus document translation for the ImageCLEF 2004 bilingual ad hoc retrieval task. Image retrieval is achieved through matching textual queries to associated image captions for the following languages: French, German, Spanish and Italian using commercially and publicly available resources. On average, we find query translation to outperform document translation (77% of English MAP compared to 65% respectively) but this varies widely across language and query. Combining document and query translation we achieve an average MAP of 85% of English.

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Author information

Authors and Affiliations

  1. University of Sheffield, Western Bank, Sheffield, S10 2TN, UK

    Paul Clough

Authors
  1. Paul Clough

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Editor information

Editors and Affiliations

  1. ISTI-CNR, Area di Ricerca, Pisa, Italy

    Carol Peters

  2. Sheffield University, Sheffield, United Kingdom

    Paul Clough

  3. No Affiliations,  

    Julio Gonzalo

  4. Centre for Digital Video Processing & School of Computing, Dublin City University, Dublin 9, Ireland

    Gareth J. F. Jones

  5. German Institute for International and Security Affairs, Stiftung Wissenschaft und Politik (SWP), Ludwigkirchplatz 3-4, P.O. Box, 10719, Berlin, Germany

    Michael Kluck

  6. ITC-IRST, Trento, Italy

    Bernardo Magnini

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© 2005 Springer-Verlag Berlin Heidelberg

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Clough, P. (2005). Caption and Query Translation for Cross-Language Image Retrieval. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_60

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