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International Conference of the Cross-Language Evaluation Forum for European Languages

CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 358–386Cite as

ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11696))

Abstract

This paper presents an overview of the ImageCLEF 2019 lab, organized as part of the Conference and Labs of the Evaluation Forum - CLEF Labs 2019. ImageCLEF is an ongoing evaluation initiative (started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In 2019, the 17th edition of ImageCLEF runs four main tasks: (i) a medical task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with new data, (ii) a lifelog task (videos, images and other sources) about daily activities understanding, retrieval and summarization, (iii) a new security task addressing the problems of automatically identifying forged content and retrieve hidden information, and (iv) a new coral task about segmenting and labeling collections of coral images for 3D modeling. The strong participation, with 235 research groups registering, and 63 submitting over 359 runs, shows an important interest in this benchmark campaign.

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Notes

  1. 1.

    http://www.imageclef.org/.

  2. 2.

    https://visualqa.org/.

  3. 3.

    https://www.imageclef.org/2019.

  4. 4.

    https://www.crowdai.org/.

  5. 5.

    https://www.linkedin.com/.

  6. 6.

    https://www.facebook.com/.

  7. 7.

    https://medpix.nlm.nih.gov.

  8. 8.

    There was a limit of maximum 10 run submissions per team. The table includes only the valid runs that were graded (total# 80 out of 90 submissions).

  9. 9.

    https://visualqa.org/evaluation.html.

  10. 10.

    Note that the question category-wise accuracy scores are normalized (each divided by a factor of 4) so that the summation is equal to the overall accuracy.

  11. 11.

    https://www.ncbi.nlm.nih.gov/pmc/.

  12. 12.

    Last.FM Music Tracker and Recommender - https://www.last.fm/.

  13. 13.

    Fitbit Fitness Tracker (FitBit Versa) - https://www.fitbit.com.

  14. 14.

    Freestyle Libre wearable glucose monitor - https://www.freestylelibre.ie/.

  15. 15.

    Moves App for Android and iOS - http://www.moves-app.com/.

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Acknowledgements

The work of Bogdan Ionescu was partially supported by the Ministry of Innovation and Research, UEFISCDI, project SPIA-VA, agreement 2SOL/2017, grant PNIII-P2-2.1-SOL-2016-02-0002.

The data collection of the ImageCLEFcoral task was funded by an IAA grant with support from Professor David Smith and Operation Wallacea. The work of Antonio Campello was supported by Innovate UK, Knowledge Transfer Partnership project KTP010993, and hosted at Filament Consultancy Group Limited.

Author information

Authors and Affiliations

  1. University Politehnica of Bucharest, Bucharest, Romania

    Bogdan Ionescu

  2. University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland

    Henning Müller & Yashin Dicente Cid

  3. La Rochelle University, La Rochelle, France

    Renaud Péteri

  4. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  5. Pluribus One & University of Cagliari, Cagliari, Italy

    Luca Piras

  6. University of Oslo, Oslo, Norway

    Michael Riegler

  7. University of Science, Ho Chi Minh City, Vietnam

    Minh-Triet Tran

  8. Klagenfurt University, Klagenfurt, Austria

    Mathias Lux

  9. Institute for Informatics, Minsk, Belarus

    Vitali Liauchuk & Vassili Kovalev

  10. Philips Research Cambridge, Cambridge, USA

    Sadid A. Hasan, Vivek Datla & Joey Liu

  11. National Library of Medicine, Bethesda, USA

    Asma Ben Abacha & Dina Demner-Fushman

  12. University of Applied Sciences and Arts Dortmund, Dortmund, Germany

    Obioma Pelka & Christoph M. Friedrich

  13. University of Essex, Colchester, UK

    Alba Garcìa Seco de Herrera, Jon Chamberlain, Adrian Clark & Antonio Campello

  14. E.T.S. Ingenieros Telecomunicación, Madrid, Spain

    Narciso Garcia, Carlos Roberto del Blanco & Carlos Cuevas

  15. University of the Aegean, Mitilini, Greece

    Ergina Kavallieratou, Nikos Vasillopoulos & Konstantinos Karampidis

  16. University of Bergen, Bergen, Norway

    Duc-Tien Dang-Nguyen

  17. Republican Research and Practical Centre for Pulmonology and TB, Minsk, Belarus

    Dzmitri Klimuk & Aleh Tarasau

  18. Filament, London, UK

    Antonio Campello

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  1. Bogdan Ionescu
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  2. Henning Müller
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  31. Antonio Campello
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Corresponding author

Correspondence to Bogdan Ionescu .

Editor information

Editors and Affiliations

  1. Universita della Svizzera Italiana, Lugano, Switzerland

    Fabio Crestani

  2. Zurich University of Applied Sciences, Winterthur, Switzerland

    Martin Braschler

  3. University of Neuchâtel, Neuchâtel, Switzerland

    Jacques Savoy

  4. Technische Universität Wien, Vienna, Austria

    Andreas Rauber

  5. HES-SO Valais-Wallis, Sierre, Switzerland

    Henning Müller

  6. University of Santiago de Compostela, Santiago de Compostela, Spain

    David E. Losada

  7. Swiss Alliance for Data-Intensive Services, Thun, Switzerland

    Gundula Heinatz Bürki

  8. University of Padua, Padua, Italy

    Linda Cappellato

  9. University of Padua, Padua, Italy

    Nicola Ferro

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Ionescu, B. et al. (2019). ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature. In: Crestani, F., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2019. Lecture Notes in Computer Science(), vol 11696. Springer, Cham. https://doi.org/10.1007/978-3-030-28577-7_28

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