Ionescu, Bogdan and Müller, Henning and Péteri, Renaud and Rückert, Johannes and Abacha, Asma Ben and GARCIA SECO DE HERRERA, Alba and Friedrich, Christoph M and Bloch, Louise and Brüngel, Raphael and Idrissi-Yaghir, Ahmad and Schäfer, Henning and Kozlovski, Serge and Cid, Yashin Dicente and Kovalev, Vassili and Ştefan, Liviu-Daniel and Constantin, Mihai Gabriel and Dogariu, Mihai and Popescu, Adrian and Deshayes-Chossart, Jérôme and Schindler, Hugo and Chamberlain, Jon and Campello, Antonio and Clark, Adrian (2022) Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications. In: 13th International Conference of the CLEF Association, CLEF 2022, 2022-09-05 - 2022-09-08, Bologna, Italy.
Ionescu, Bogdan and Müller, Henning and Péteri, Renaud and Rückert, Johannes and Abacha, Asma Ben and GARCIA SECO DE HERRERA, Alba and Friedrich, Christoph M and Bloch, Louise and Brüngel, Raphael and Idrissi-Yaghir, Ahmad and Schäfer, Henning and Kozlovski, Serge and Cid, Yashin Dicente and Kovalev, Vassili and Ştefan, Liviu-Daniel and Constantin, Mihai Gabriel and Dogariu, Mihai and Popescu, Adrian and Deshayes-Chossart, Jérôme and Schindler, Hugo and Chamberlain, Jon and Campello, Antonio and Clark, Adrian (2022) Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications. In: 13th International Conference of the CLEF Association, CLEF 2022, 2022-09-05 - 2022-09-08, Bologna, Italy.
Ionescu, Bogdan and Müller, Henning and Péteri, Renaud and Rückert, Johannes and Abacha, Asma Ben and GARCIA SECO DE HERRERA, Alba and Friedrich, Christoph M and Bloch, Louise and Brüngel, Raphael and Idrissi-Yaghir, Ahmad and Schäfer, Henning and Kozlovski, Serge and Cid, Yashin Dicente and Kovalev, Vassili and Ştefan, Liviu-Daniel and Constantin, Mihai Gabriel and Dogariu, Mihai and Popescu, Adrian and Deshayes-Chossart, Jérôme and Schindler, Hugo and Chamberlain, Jon and Campello, Antonio and Clark, Adrian (2022) Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications. In: 13th International Conference of the CLEF Association, CLEF 2022, 2022-09-05 - 2022-09-08, Bologna, Italy.
Abstract
This paper presents an overview of the ImageCLEF 2022 lab that was organized as part of the Conference and Labs of the Evaluation Forum – CLEF Labs 2022. 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 2022, the 20th edition of ImageCLEF runs four main tasks: (i) a medical task that groups two previous tasks, i.e., caption analysis and tuberculosis prediction, (ii) a social media aware task on estimating potential real-life effects of online image sharing, (iii) a nature coral task about segmenting and labeling collections of coral reef images, and (iv) a new fusion task addressing the design of late fusion schemes for boosting the performance, with two real-world applications: image search diversification (retrieval) and prediction of visual interestingness (regression). The benchmark campaign received the participation of over 25 groups submitting more than 258 runs.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Medical image classification; medical image caption analysis; tuberculosis prediction; coral image segmentation and classification; prediction of effects of online image sharing; late fusion for search diversification and interestingness prediction; ImageCLEF lab |
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: | 23 Jan 2025 20:40 |
Last Modified: | 23 Jan 2025 20:40 |
URI: | http://repository.essex.ac.uk/id/eprint/34708 |
Available files
Filename: ImageCLEF_2022_overview.pdf