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General Overview of ImageCLEF at the CLEF 2016 Labs

Villegas, Mauricio and Müller, Henning and Garcia Seco De Herrera, Alba and Schaer, Roger and Bromuri, Stefano and Gilbert, Andrew and Piras, Luca and Wang, Josiah and Yan, Fei and Ramisa, Arnau and Dellandrea, Emmanuel and Gaizauskas, Robert and Mikolajczyk, Krystian and Puigcerver, Joan and Toselli, Alejandro H and Sánchez, Joan-Andreu and Vidal, Enrique (2016) General Overview of ImageCLEF at the CLEF 2016 Labs. In: 7th International Conference of the CLEF Association, CLEF 2016, 2016-09-05 - 2016-09-08, Évora, Portugal.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Experimental IR Meets Multilinguality, Multimodality, and Interaction. 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016, Proceedings. Part of the Lecture Notes in Computer Science book series (LNCS, volume 9822)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 22 Jan 2020 12:02
Last Modified: 22 Jan 2020 12:15
URI: http://repository.essex.ac.uk/id/eprint/22222

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