Ionescu, Bogdan and Müller, Henning and Garcia Seco De Herrera, Alba and et al (2023) ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. In: European Conference on Information Retrieval (ECIR), 2023-04-10 - 2023-04-14, Stavanger, Norway.
Ionescu, Bogdan and Müller, Henning and Garcia Seco De Herrera, Alba and et al (2023) ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. In: European Conference on Information Retrieval (ECIR), 2023-04-10 - 2023-04-14, Stavanger, Norway.
Ionescu, Bogdan and Müller, Henning and Garcia Seco De Herrera, Alba and et al (2023) ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. In: European Conference on Information Retrieval (ECIR), 2023-04-10 - 2023-04-14, Stavanger, Norway.
Abstract
In this paper, we provide an overview of the upcoming ImageCLEF campaign. ImageCLEF is part of the CLEF Conference and Labs of the Evaluation Forum since 2003. ImageCLEF, the Multimedia Retrieval task in CLEF, is an ongoing evaluation initiative that promotes the evaluation of technologies for annotation, indexing, and retrieval of multimodal data with the aim of providing information access to large collections of data in various usage scenarios and domains. In its 21st edition, ImageCLEF 2023 will have four main tasks: (i) a Medical task addressing automatic image captioning, synthetic medical images created with GANs, Visual Question Answering for colonoscopy images, and medical dialogue summarization; (ii) an Aware task addressing the prediction of real-life consequences of online photo sharing; (iii) a Fusion task addressing late fusion techniques based on the expertise of a pool of classifiers; and (iv) a Recommending task addressing cultural heritage content-recommendation. In 2022, ImageCLEF received the participation of over 25 groups submitting more than 258 runs. These numbers show the impact of the campaign. With the COVID-19 pandemic now over, we expect that the interest in participating, especially at the physical CLEF sessions, will increase significantly in 2023.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: _not provided_ |
Uncontrolled Keywords: | annotated data; content recommending; cultural heritage; dialogue summarization; GANs; image captioning; ImageCLEF benchmarking; Information retrieval; late fusion; medical AI; social media; user awareness; Visual Question Answering |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 17 Oct 2024 16:52 |
Last Modified: | 17 Oct 2024 16:53 |
URI: | http://repository.essex.ac.uk/id/eprint/35007 |
Available files
Filename: ECIR2023_ImageCLEF.pdf