Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Overview of ImageCLEF 2017: information extraction from images

Ionescu, Bogdan, Müller, Henning, Villegas, Mauricio, Arenas, Helbert, Boato, Giulia, Dang-Nguyen, Duc-Tien orcid logoORCID: 0000-0002-2761-2213, Dicente Cid, Yashin, Eickhoff, Carsten, Seco de Herrera, Alba G., Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968, Islam, Bayzidul, Kovalev, Vassili, Liauchuk, Vitali, Mothe, Josiane, Piras, Luca, Riegler, Michael and Schwall, Immanuel (2017) Overview of ImageCLEF 2017: information extraction from images. In: ImageCLEF 2017, 11 - 13 September 2017, Dublin, Ireland. ISBN 978-3-319-65813-1

Abstract
This paper presents an overview of the ImageCLEF 2017 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2017. ImageCLEF is an ongoing initiative (started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval for providing information access to collections of images in various usage scenarios and domains. In 2017, the 15th edition of ImageCLEF, three main tasks were proposed and one pilot task: (1) a LifeLog task about searching in LifeLog data, so videos, images and other sources; (2) a caption prediction task that aims at predicting the caption of a figure from the biomedical literature based on the figure alone; (3) a tuberculosis task that aims at detecting the tuberculosis type from CT (Computed Tomography) volumes of the lung and also the drug resistance of the tuberculosis; and (4) a remote sensing pilot task that aims at predicting population density based on satellite images. The strong participation of over 150 research groups registering for the four tasks and 27 groups submitting results shows the interest in this benchmarking campaign despite the fact that all four tasks were new and had to create their own community.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Proceedings. Lecture Notes in Computer Science book series (LNCS) 10456. Springer International Publishing. ISBN 978-3-319-65813-1
Publisher:Springer International Publishing
Official URL:https://doi.org/10.1007/978-3-319-65813-1_28
Copyright Information:© 2017 Springer. The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Union’s Horizon 2020 Research & Innovation programme. Grant no.693210
ID Code:22038
Deposited On:25 Sep 2017 10:01 by Duc-Tien Dang-Nguyen . Last Modified 15 Dec 2021 16:09
Documents

Full text available as:

[thumbnail of 2017_CLEF_IMV.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
780kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record