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Mauricio Villegas, Henning Müller, Alba García-Seco de Herrera, Roger Schaer, Stefano Bromuri, Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel Dellandrea, Robert Gaizauskas, Krystian Mikolajczyk, Joan Puigcerver, Alejandro H. Toselli, Joan-Andreu Sánchez, Enrique Vidal. General Overview of ImageCLEF at the CLEF 2016 Labs. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016. pp. 267-285. Springer International Publishing.

This paper presents an overview of the ImageCLEF 2016 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2016. ImageCLEF is an ongoing initiative 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 2016, the 14th edition of ImageCLEF, three main tasks were proposed: (1) identification, multi-label classification and separation of compound figures from biomedical literature; (2) automatic annotation of general web images; and (3) retrieval from collections of scanned handwritten documents. The handwritten retrieval task was the only completely novel task this year, although the other two tasks introduced several modifications to keep the proposed tasks challenging.