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Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications

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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14163))

Abstract

This paper presents an overview of the ImageCLEF 2023 lab, which was organized in the frame of the Conference and Labs of the Evaluation Forum – CLEF Labs 2023. ImageCLEF is an ongoing evaluation event that started in 2003 and that encourage the evaluation of the technologies for annotation, indexing and retrieval of multimodal data with the goal of providing information access to large collections of data in various usage scenarios and domains. In 2023, the 21st edition of ImageCLEF runs three main tasks: (i) a medical task which included the sequel of the caption analysis task and three new tasks, namely, GANs for medical images, Visual Question Answering for colonoscopy images, and medical dialogue summarization; (ii) a sequel of the fusion task addressing the design of late fusion schemes for boosting the performance, with two real-world applications: image search diversification (retrieval) and prediction of visual interestingness (regression); and (iii) a sequel of the social media aware task on potential real-life effects awareness of online image sharing. The benchmark campaign was a real success and received the participation of over 45 groups submitting more than 240 runs.

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Notes

  1. 1.

    http://www.imageclef.org/.

  2. 2.

    https://www.aicrowd.com/.

  3. 3.

    https://www.ai4media.eu/.

  4. 4.

    https://codalab.org/.

  5. 5.

    https://scholar.google.com/.

  6. 6.

    https://www.imageclef.org/2023/.

  7. 7.

    https://www.imageclef.org/2023/.

  8. 8.

    https://www.aicrowd.com/.

  9. 9.

    https://github.com/AIMultimediaLab/AI4Media-EaaS-prototype-Py2-public.

  10. 10.

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

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Acknowledgements

The lab is supported under the H2020 AI4Media “A European Excellence Centre for Media, Society and Democracy” project, contract \(\#951911\), as well as the ImageCLEFaware, ImageCLEFfusion tasks. The work of Louise Bloch and Raphael Brüngel was partially funded by a PhD grant from the University of Applied Sciences and Arts Dortmund (FH Dortmund), Germany. The work of Ahmad Idrissi-Yaghir and Henning Schäfer was funded by a PhD grant from the DFG Research Training Group 2535 Knowledge- and data-based personalisation of medicine at the point of care (WisPerMed).

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Authors and Affiliations

  1. Politehnica University of Bucharest, Bucharest, Romania

    Bogdan Ionescu, Ana-Maria Drăgulinescu, Alexandra-Georgiana Andrei, Ioan Coman, Liviu-Daniel Ştefan, Mihai-Gabriel Constantin & Mihai Dogariu

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

    Henning Müller

  3. Microsoft, Redmond, USA

    Wen-Wai Yim & Asma Ben Abacha

  4. Microsoft/Nuance, Redmond, USA

    Neal Snider

  5. Columbia University, New York, USA

    Griffin Adams

  6. University of Washington, Seattle, USA

    Meliha Yetisgen

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

    Johannes Rückert, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir & Henning Schäfer

  8. University of Essex, Colchester, UK

    Alba García Seco de Herrera

  9. SimulaMet, Oslo, Norway

    Steven A. Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen & Debesh Jha

  10. Sahlgrenska University Hospital, Gothenburg, Sweden

    Nikolaos Papachrysos & Johanna Schöler

  11. Northwestern University, Chicago, USA

    Debesh Jha

  12. Belarus State University, Minsk, Belarus

    Vassili Kovalev

  13. Belarusian National Academy of Sciences, Minsk, Belarus

    Vassili Kovalev, Ahmedkhan Radzhabov & Yuri Prokopchuk

  14. CEA LIST, Palaiseau, France

    Jérôme Deshayes & Adrian Popescu

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  1. Bogdan Ionescu
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Corresponding author

Correspondence to Ana-Maria Drăgulinescu .

Editor information

Editors and Affiliations

  1. Democritus University of Thrace, Xanthi, Greece

    Avi Arampatzis

  2. University of Amsterdam, Amsterdam, The Netherlands

    Evangelos Kanoulas

  3. CERTH-ITI, Thessaloniki, Greece

    Theodora Tsikrika

  4. CERTH-ITI, Thessaloniki, Greece

    Stefanos Vrochidis

  5. Utrecht University, Utrecht, The Netherlands

    Anastasia Giachanou

  6. Elsevier, Amsterdam, The Netherlands

    Dan Li

  7. University of Amsterdam, Amsterdam, The Netherlands

    Mohammad Aliannejadi

  8. University of Lausanne, Lausanne, Switzerland

    Michalis Vlachos

  9. University of Padua, Padova, Italy

    Guglielmo Faggioli

  10. University of Padua, Padova, Italy

    Nicola Ferro

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Ionescu, B. et al. (2023). Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. In: Arampatzis, A., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2023. Lecture Notes in Computer Science, vol 14163. Springer, Cham. https://doi.org/10.1007/978-3-031-42448-9_25

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