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

Abstract

ImageCLEFs 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.

Publication
Advances in Information Retrieval
Christoph M. Friedrich
Christoph M. Friedrich
Principal Investigator

My research interests include Deep Learning, Computer Vision, Radiomics, and Explainable AI.

Louise Bloch
Louise Bloch
Associated Researcher

My research interests include interpretable machine learning, mutlimodal deep learning, and medical image processing.

Raphael Brüngel
Raphael Brüngel
Associated Researcher

My research interests include artificial intelligence, computational linguistics, and information retrieval.

Ahmad Idrissi-Yaghir
Ahmad Idrissi-Yaghir
Researcher in the first cohort

My research interests include Deep Learning, Natural Language Processing, and Information Retrieval.

Henning Schäfer
Henning Schäfer
Researcher in the first cohort

My research interests include Deep Learning, Computer Vision, Radiomics, and Explainable AI.

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