General overview of imageCLEF at the CLEF 2016 labs

46Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Villegas, M., Müller, H., García Seco de Herrera, A., Schaer, R., Bromuri, S., Gilbert, A., … Vidal, E. (2016). General overview of imageCLEF at the CLEF 2016 labs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9822 LNCS, pp. 267–285). Springer Verlag. https://doi.org/10.1007/978-3-319-44564-9_25

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free