General Overview of ImageCLEF at the CLEF 2015 Labs

Authors: Mauricio Villegas , Henning Müller, Andrew Gilbert, Luca Piras, Josiah Wang, Krystian Mikolajczyk, Alba G. Seco de Herrera, Stefano Bromuri, M. Ashraful Amin, Mahmood Kazi Mohammed, Burak Acar, Suzan Uskudarli, Neda B. Marvasti, José F. Aldana, María del Mar Roldán García
Year: 2015
Venue: Toulouse, France
Link:
Product of the Action: Yes

Keystone Members Authors:
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Abstract:
This paper presents an overview of the ImageCLEF 2015 evaluation campaign, an event that was organized as part of the CLEF labs 2015. ImageCLEF is an ongoing initiative that promotes the evaluation of technologies for annotation, indexing and retrieval for providing information access to databases of images in various usage scenarios and domains. In 2015, the 13th edition of ImageCLEF, four main tasks were proposed: 1) automatic concept annotation, localization and sentence description generation for general images; 2) identification, multi-label classification and separation of compound figures from biomedical literature; 3) clustering of x-rays from all over the body; and 4) prediction of missing radiological annotations in reports of liver CT images. The x-ray task was the only fully novel task this year, although the other three tasks introduced modifications to keep up relevancy of the proposed challenges. The participation was considerably positive in this edition of the lab, receiving almost twice the number of submitted working notes papers as compared to previous years.