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Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications

Ionescu, Bogdan and Müller, Henning and Péteri, Renaud and Abacha, Asma Ben and Datla, Vivek and Hasan, Sadid A and Demner-Fushman, Dina and Kozlovski, Serge and Liauchuk, Vitali and Cid, Yashin Dicente and Kovalev, Vassili and Pelka, Obioma and Friedrich, Christoph M and García Seco de Herrera, Alba and Ninh, Van-Tu and Le, Tu-Khiem and Zhou, Liting and Piras, Luca and Riegler, Michael and Halvorsen, Pål and Tran, Minh-Triet and Lux, Mathias and Gurrin, Cathal and Dang-Nguyen, Duc-Tien and Chamberlain, Jon and Clark, Adrian and Campello, Antonio and Fichou, Dimitri and Berari, Raul and Brie, Paul and Dogariu, Mihai and Ştefan, Liviu Daniel and Constantin, Mihai Gabriel (2020) Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. In: 11th International Conference of the CLEF Association, CLEF 2020, 2020-09-22 - 2020-09-25, Thessaloniki, Greece.

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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.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 27 Sep 2022 11:55
Last Modified: 27 Sep 2022 11:56
URI: http://repository.essex.ac.uk/id/eprint/32082

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