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The CLEF 2005 Cross–Language Image Retrieval Track

  • Conference paper
Accessing Multilingual Information Repositories (CLEF 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4022))

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Abstract

This paper outlines efforts from the 2005 CLEF cross– language image retrieval campaign (ImageCLEF). Aim of the CLEF track is to explore the use of both text and content–based retrieval methods for cross–language image retrieval. Four tasks were offered in ImageCLEF: ad–hoc retrieval from an historic photographic collection, ad–hoc retrieval from a medical collection, an automatic image annotation task, and a user–centered (interactive) evaluation task. 24 research groups from a variety of backgrounds and nationalities (14 countries) participated in ImageCLEF. This paper presents the ImageCLEF tasks, submissions from participating groups and a summary of the main findings.

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References

  1. Clough, P., Sanderson, M.: The CLEF 2003 Cross Language Image Retrieval Track. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds.) CLEF 2003. LNCS, vol. 3237, pp. 581–593. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Clough, P., Müller, H., Sanderson, M.: The CLEF 2004 Cross-Language Image Retrieval Track. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 597–613. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Gonzalo, J., Clough, P., Vallin, A.: Overview of the CLEF 2005 Interactive Track. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 251–262. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Clough, P., Sanderson, M., Müller, H.: A proposal for the CLEF cross language image retrieval track (ImageCLEF) 2004. In: The Challenge of Image and Video Retrieval (CIVR 2004). LNCS, vol. 3115, Springer, Heidelberg (2004)

    Google Scholar 

  5. Grubinger, M., Leung, C., Clough, P.: Towards a topic complexity measure for cross–language image retrieval. In: Proceedings of Cross Language Evaluation Forum (CLEF) 2005 Workshop, Vienna, Austria (2005)

    Google Scholar 

  6. Besançon, R., Millet, C.: Data fusion of retrieval results from different media: Experiments at ImageCLEF 2005. In: Proceedings of Cross–Language Evaluation Forum (CLEF) 2005 Workshop, Vienna, Austria (2005)

    Google Scholar 

  7. Inoue, M.: Easing Erroneous Translations in Cross-Language Image Retrieval Using Word Associations. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 582–591. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  8. Izquierdo-Beviá, R., Tomás, D., Saiz-Noeda, M., Vicedo, J.L.: University of Alicante in ImageCLEF2005. In: Proceedings of Cross Language Evaluation Forum (CLEF) 2005 Workshop, Vienna, Austria (2005)

    Google Scholar 

  9. Hoi, S.C.H., Zhu, J., Lyu, M.R.: CUHK at ImageCLEF 2005: Cross–language and cross–media image retrieval. In: Proceedings of Cross Language Evaluation Forum (CLEF) 2005 Workshop, Vienna, Austria (2005)

    Google Scholar 

  10. Jones, G.J., McDonald, K.: Dublin City University at CLEF 2005: Cross-Language Speech Retrieval (CL-SR) Experiments. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 792–799. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Müller, H., Geissbühler, A., Marty, J., Lovis, C., Ruch, P.: The Use of MedGIFT and EasyIR for ImageCLEF 2005. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 724–732. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Adriani, M., Arnely, F.: Retrieving Images Using Cross-Language Text and Image Features. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 733–736. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Martínez-Fernández, J., Villena Román, J., García-Serrano, A.M., González-Cristóbal, J.C.: Combining textual and visual features for image retrieval. In: Proceedings of Cross Language Evaluation Forum (CLEF) 2005 Workshop, Vienna, Austria (2005)

    Google Scholar 

  14. Chang, Y.C., Lin, W.C., Chen, H.H.: A Corpus-Based Relevance Feedback Approach to Cross-Language Image Retrieval. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 592–601. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  15. Martín-Valdivia, M., Garcí-Cumbreras, M., Dí-Galiano, M., Ureña López, L., Montejo-Raez, A.: The University of Jaén at ImageCLEF 2005: Adhoc and Medical Tasks. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 612–621. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  16. Peinado, V., López-Ostenero, F., Gonzalo, J., Verdejo, F.: UNED at ImageCLEF 2005: Automatically Structured Queries with Named Entities over Metadata. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 578–581. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  17. Hersh, W.R., Hickam, D.H.: How well do physicians use electronic information retrieval systems? Journal of the American Medical Association 280, 1347–1352 (1998)

    Article  Google Scholar 

  18. Markkula, M., Sormunen, E.: Searching for photos – journalists’ practices in pictorial IR. In: Eakins, J.P., Harper, D.J., Jose, J. (eds.) The Challenge of Image Retrieval, A Workshop and Symposium on Image Retrieval. Electronic Workshops in Computing, Newcastle upon Tyne, The British Computer Society (1998)

    Google Scholar 

  19. Hersh, W., Müller, H., Gorman, P., Jensen, J.: Task analysis for evaluating image retrieval systems in the ImageCLEF biomedical image retrieval task. In: Slice of Life conference on Multimedia in Medical Education (SOL 2005), Portland, OR, USA (2005)

    Google Scholar 

  20. Müller, H., Rosset, A., Vallée, J.P., Terrier, F., Geissbuhler, A.: A reference data set for the evaluation of medical image retrieval systems. Computerized Medical Imaging and Graphics 28, 295–305 (2004)

    Article  Google Scholar 

  21. Rosset, A., Müller, H., Martins, M., Dfouni, N., Vallée, J.P., Ratib, O.: Casimage project – a digital teaching files authoring environment. Journal of Thoracic Imaging 19, 1–6 (2004)

    Article  Google Scholar 

  22. Candler, C.S., Uijtdehaage, S.H., Dennis, S.E.: Introducing HEAL: The health education assets library. Academic Medicine 78, 249–253 (2003)

    Article  Google Scholar 

  23. Wallis, J.W., Miller, M.M., Miller, T.R., Vreeland, T.H.: An internet–based nuclear medicine teaching file. Journal of Nuclear Medicine 36, 1520–1527 (1995)

    Google Scholar 

  24. Glatz-Krieger, K., Glatz, D., Gysel, M., Dittler, M., Mihatsch, M.J.: Webbasierte Lernwerkzeuge für die Pathologie – web–based learning tools for pathology. Pathologe 24, 394–399 (2003)

    Article  Google Scholar 

  25. Lehmann, T.M., Güld, M.O., Deselaers, T., Schubert, H., Spitzer, K., Ney, H., Wein, B.B.: Automatic categorization of medical images for content–based retrieval and data mining. Computerized Medical Imaging and Graphics 29, 143–155 (2005)

    Article  Google Scholar 

  26. Güld, M., Kohnen, M., Keysers, D., Schubert, H., Wein, B., Bredno, J., Lehmann, T.: Quality of DICOM header information for image categorization. In: Proceedings of the SPIE conference Photonics West, Electronic Imaging, special session on benchmarking image retrieval systems, pp. 280–287 (2002)

    Google Scholar 

  27. Lehmann, T.M., Schubert, H., Keysers, D., Kohnen, M., Wein, B.B.: The IRMA code for unique classification of medical images. In: Medical Imaging, San Diego, California. SPIE Proceedings, vol. 5033 (2003)

    Google Scholar 

  28. Pietka, E., Huang, H.: Orientation correction for chest images. Journal of Digital Imaging 5, 185–189 (1992)

    Article  Google Scholar 

  29. Boone, J.M., Seshagiri, S., Steiner, R.: Recognition of chest radiograph orientation for picture archiving and communications systems display using neural networks. Journal of Digital Imaging 5(3), 190–193 (1992)

    Article  Google Scholar 

  30. Güld, M.O., Keysers, D., Deselaers, T., Leisten, M., Schubert, H., Ney, H., Lehmann, T.M.: Comparison of global features for categorization of medical images. In: Medical Imaging 2004. SPIE Proceedings, vol. 5371 (2004)

    Google Scholar 

  31. Keysers, D., Gollan, C., Ney, H.: Classification of medical images using non–linear distortion models. In: Proceedings Bildverarbeitung für die Medizin, Berlin, Germany, pp. 366–370 (2004)

    Google Scholar 

  32. Müller, H., Clough, P., Hersh, W., Deselaers, T., Lehmann, T.M., Geissbuhler, A.: Using heterogeneous annotation and visual information for the benchmarking of image retrieval systems. In: Proceedings of the SPIE conference Photonics West, Electronic Imaging, special session on benchmarking image retrieval systems, San Diego, USA (2006)

    Google Scholar 

  33. Müller, H., Clough, P., Hersh, W., Deselaers, T., Lehmann, T., Geissbuhler, A.: Axes for the evaluation of medical image retrieval systems - the ImageCLEF experience. In: Proceedings of the of ACM Multimedia 2005 (Brave New Topics track), Singapore, November 6–12, pp. 1014–1022 (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Studies, Sheffield University, Sheffield, UK

    Paul Clough

  2. Medical Informatics Service, Geneva University and Hospitals, Geneva, Switzerland

    Henning Müller

  3. Lehrstuhl für Informatik VI, RWTH Aachen, Germany

    Thomas Deselaers

  4. School of Computer Science and Mathematics, Victoria University, Australia

    Michael Grubinger

  5. Department of Medical Informatics, Medical Faculty, RWTH Aachen, Germany

    Thomas M. Lehmann

  6. Biomedical Informatics, Oregon Health and Science University, Portland, OR, USA

    Jeffery Jensen & William Hersh

Authors
  1. Paul Clough
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  2. Henning Müller
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  3. Thomas Deselaers
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  4. Michael Grubinger
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  5. Thomas M. Lehmann
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  6. Jeffery Jensen
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  7. William Hersh
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Editor information

Editors and Affiliations

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

    Carol Peters

  2. University of California, Berkeley, CA, USA

    Fredric C. Gey

  3. No Affiliations,  

    Julio Gonzalo

  4. Business Information Systems, University of Applied Sciences, Sierre, Switzerland

    Henning Müller

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

    Gareth J. F. Jones

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

    Michael Kluck

  7. ITC-IRST, Trento, Italy

    Bernardo Magnini

  8. ISLA, University of Amsterdam,  

    Maarten de Rijke

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© 2006 Springer-Verlag Berlin Heidelberg

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Clough, P. et al. (2006). The CLEF 2005 Cross–Language Image Retrieval Track. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_60

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  • DOI: https://doi.org/10.1007/11878773_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45697-1

  • Online ISBN: 978-3-540-45700-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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