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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.

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Correspondence to Bogdan Ionescu .

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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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