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ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications

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Advances in Information Retrieval (ECIR 2022)

Abstract

ImageCLEF s part of the Conference and Labs of the Evaluation Forum (CLEF) since 2003. CLEF 2022 will take place in Bologna, Italy. ImageCLEF is an ongoing evaluation initiative which 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 its 20th edition, ImageCLEF will have four main tasks: (i) a Medical task addressing concept annotation, caption prediction, and tuberculosis detection; (ii) a Coral task addressing the annotation and localisation of substrates in coral reef images; (iii) an Aware task addressing the prediction of real-life consequences of online photo sharing; and (iv) a new Fusion task addressing late fusion techniques based on the expertise of the pool of classifiers. In 2021, over 100 research groups registered at ImageCLEF with 42 groups submitting more than 250 runs. These numbers show that, despite the COVID-19 pandemic, there is strong interest in the evaluation campaign.

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Notes

  1. 1.

    https://clef2022.clef-initiative.eu/.

  2. 2.

    https://www.aicrowd.com/.

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Acknowledgement

Part of this work is supported under the H2020 AI4Media “A European Excellence Centre for Media, Society and Democracy” project, contract #951911. 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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Correspondence to Alba G. Seco de Herrera .

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de Herrera, A.G.S. et al. (2022). ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications. In: Hagen, M., et al. Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13186. Springer, Cham. https://doi.org/10.1007/978-3-030-99739-7_48

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  • DOI: https://doi.org/10.1007/978-3-030-99739-7_48

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