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ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, 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 Garcia Seco De Herrera, Alba and Ninh, Van-Tu and Le, Tu-Khiem and Zhou, Liting and Piras, Luca and Riegler, Michael and Halvorsen, På L 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 Stefan, Liviu Daniel and Constantin, Mihai Gabriel (2020) ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. In: 42nd European Conference on IR Research, ECIR 2020, 2020-04-14 - 2020-04-17, Lisbon, Portugal.

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Abstract

This paper presents an overview of the 2020 ImageCLEF lab that will be organized as part of the Conference and Labs of the Evaluation Forum—CLEF Labs 2020 in Thessaloniki, Greece. ImageCLEF is an ongoing evaluation initiative (run since 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 will organize four main tasks: (i) a Lifelog task (videos, images and other sources) about daily activity understanding, retrieval and summarization, (ii) a Medical task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with new data and adapted tasks, (iii) a Coral task about segmenting and labeling collections of coral images for 3D modeling, and a new (iv) Web user interface task addressing the problems of detecting and recognizing hand drawn website UIs (User Interfaces) for generating automatic code. The strong participation, with over 235 research groups registering and 63 submitting over 359 runs for the tasks in 2019 shows an important interest in this benchmarking campaign. We expect the new tasks to attract at least as many researchers for 2020. Keywords

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Advances in Information Retrieval, Part of the Lecture Notes in Computer Science book series (LNCS, volume 12036)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 07 Sep 2020 20:32
Last Modified: 28 Sep 2020 10:15
URI: http://repository.essex.ac.uk/id/eprint/28667

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