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

CLEF 2020: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 311–341Cite as

Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12260)

Abstract

This paper presents an overview of the ImageCLEF 2020 lab that was organized as part of the Conference and Labs of the Evaluation Forum - CLEF Labs 2020. ImageCLEF is an ongoing evaluation initiative (first run 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 2020, the 18th edition of ImageCLEF runs four main tasks: (i) a medical task that groups three previous tasks, i.e., caption analysis, tuberculosis prediction, and medical visual question answering and question generation, (ii) a lifelog task (videos, images and other sources) about daily activity understanding, retrieval and summarization, (iii) a coral task about segmenting and labeling collections of coral reef images, and (iv) a new Internet task addressing the problems of identifying hand-drawn user interface components. Despite the current pandemic situation, the benchmark campaign received a strong participation with over 40 groups submitting more than 295 runs.

Keywords

  • Visual question answering
  • Visual question generation
  • Lifelogging retrieval and summarization
  • Medical image classification
  • Coral image segmentation and classification
  • Recognition of hand-drawn website user interface components
  • ImageCLEF benchmark
  • Annotated data
  • Common evaluation framework

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Notes

  1. 1.

    http://www.imageclef.org/.

  2. 2.

    https://www.aicrowd.com/.

  3. 3.

    https://scholar.google.com/.

  4. 4.

    https://www.imageclef.org/2020/.

  5. 5.

    https://visualqa.org/.

  6. 6.

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

  7. 7.

    http://www.cs.cmu.edu/~ark/mheilman/questions/.

  8. 8.

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

  9. 9.

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

  10. 10.

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

  11. 11.

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

  12. 12.

    https://essexnlip.uk/marine-technology-research-unit/.

  13. 13.

    http://host.robots.ox.ac.uk/pascal/VOC/.

  14. 14.

    http://evansdata.com/.

  15. 15.

    http://appdevelopermagazine.com/.

  16. 16.

    https://github.com/philferriere/cocoapi/.

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Acknowledgements

Data collection for the Tuberculosis task was supported by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, CRDF project DAA9-19-65987-1.

Author information

Authors and Affiliations

  1. University Politehnica of Bucharest, Bucharest, Romania

    Bogdan Ionescu, Mihai Dogariu, Liviu Daniel Ştefan & Mihai Gabriel Constantin

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

    Henning Müller

  3. University of La Rochelle, La Rochelle, France

    Renaud Péteri

  4. National Library of Medicine, Bethesda, USA

    Asma Ben Abacha & Dina Demner-Fushman

  5. Philips Research Cambridge, Cambridge, USA

    Vivek Datla

  6. CVS Health, Monroeville, USA

    Sadid A. Hasan

  7. United Institute of Informatics Problems, Minsk, Belarus

    Serge Kozlovski, Vitali Liauchuk & Vassili Kovalev

  8. University of Warwick, Coventry, UK

    Yashin Dicente Cid

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

    Obioma Pelka & Christoph M. Friedrich

  10. University of Essex, Colchester, UK

    Alba García Seco de Herrera, Jon Chamberlain & Adrian Clark

  11. Dublin City University, Dublin, Ireland

    Van-Tu Ninh, Tu-Khiem Le, Liting Zhou & Cathal Gurrin

  12. Pluribus One and University of Cagliari, Cagliari, Italy

    Luca Piras

  13. University of Oslo, Oslo, Norway

    Michael Riegler & Pål Halvorsen

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

    Minh-Triet Tran

  15. Klagenfurt University, Klagenfurt, Austria

    Mathias Lux

  16. University of Bergen, Bergen, Norway

    Duc-Tien Dang-Nguyen

  17. Wellcome Trust, London, UK

    Antonio Campello

  18. teleportHQ, Cluj-Napoca, Romania

    Dimitri Fichou, Raul Berari & Paul Brie

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  1. Bogdan Ionescu
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Corresponding author

Correspondence to Bogdan Ionescu .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece

    Avi Arampatzis

  2. University of Amsterdam, Amsterdam, The Netherlands

    Evangelos Kanoulas

  3. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Theodora Tsikrika

  4. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Dr. Stefanos Vrochidis

  5. Faculty of Library, Information and Media Science, University of Tsukuba, Ibaraki, Japan

    Dr. Hideo Joho

  6. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

    Christina Lioma

  7. Brown University, Providence, RI, USA

    Carsten Eickhoff

  8. LIMSI-CNRS, Orsay, France

    Aurélie Névéol

  9. Department of Information Engineering, University of Padova, Padua, Italy

    Linda Cappellato

  10. Department of Information Engineering, University of Padova, Padua, Italy

    Nicola Ferro

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Ionescu, B. et al. (2020). Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. In: , et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2020. Lecture Notes in Computer Science(), vol 12260. Springer, Cham. https://doi.org/10.1007/978-3-030-58219-7_22

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