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ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications

Ionescu, Bogdan and Müller, Henning and Péteri, Renaud and Dang-Nguyen, Duc-Tien and Zhou, Liting and Piras, Luca and Riegler, Michael and Halvorsen, Pål and Tran, Minh-Triet and Lux, Mathias and Gurrin, Cathal and Chamberlain, Jon and Clark, Adrian and Campello, Antonio and Garcia Seco De Herrera, Alba and Ben Abacha, Asma and Datla, Vivek and A. Hasan, Sadid and Liu, Joey and Demner-Fushman, Dina and Obioma, Pelka and Friedrich, Christoph M and Dicente Cid, Yashin and Kozlovski, Serge and Liauchuk, Vitali and Kovalev, Vassili and Berari, Raul and Brie, Paul and Fichou, Dimitri and Dogariu, Mihai and Daniel Stefan, Liviu and Constantin, Mihai Gabriel ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. In: European Conference on Information Retrieval (ECIR), 2020-04-14 - 2020-04-17, Lisbon, Portugal. (In Press)

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Uncontrolled Keywords: lifelogging retrieval and summarization, medical image classification, oral image segmentation and classification, recognition of hand drawn website UIs, ImageCLEF benchmarking
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 27 Jan 2020 10:54
Last Modified: 27 Jan 2020 11:15
URI: http://repository.essex.ac.uk/id/eprint/26576

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