You are here

Revision of ImageCLEF - The CLEF Cross Language Image Retrieval Track from Tue, 12/20/2011 - 14:37



News

  • 05.12.2012 ImageCLEF has been selected as one of the CLEF 2012 labs.
  • 30.11.2011 The ImageCLEF Wikipedia image retrieval 2011 dataset is publicly available here
  • 30.09.2011 Links to the slides of the oral presentations and to the demos at the ImageCLEF sessions of CLEF 2011 are available here
  • 22.09.2011 Please give us feedback on ImageCLEF 2011 at this survey, or more detailed feedback on CLEF at this survey.
  • 10.9.2010 The ImageCLEF book is now available to buy at Springer. More information can be found here.


Overview

ImageCLEF aims to provide an evaluation forum for the cross–language annotation and retrieval of images. Motivated by the need to support multilingual users from a global community accessing the ever growing body of visual information, the main goal of ImageCLEF is to support the advancement of the field of visual media analysis, indexing, classification, and retrieval, by developing the necessary infrastructure for the evaluation of visual information retrieval systems operating in both monolingual, cross–language and language-independent contexts. ImageCLEF aims at providing reusable resources for such benchmarking purposes.

ImageCLEF launched in 2003 as part of the Cross Language Evaluation Forum (CLEF) with the goal is to provide support for the evaluation of 1) language-independent methods for the automatic annotation of images with concepts, 2) multimodal information retrieval methods based on the combination of visual and textual features, and 3) multilingual image retrieval methods, so as to compare the effect of retrieval of image annotations and query formulations in several languages.

ImageCLEF has already seen participation from both academic and industry research groups worldwide from various communities including: (visual) information retrieval, cross–lingual information retrieval, computer vision and pattern recognition, medical informatics, human-computer interaction, etc.

More information on past and current ImageCLEF campaigns can be found here:


ImageCLEF organisers
ImageCLEF was originally proposed by Mark Sanderson and Paul Clough from the Department of Information Studies, University of Sheffield. However, today ImageCLEF is organised and run voluntarily by a much larger number of individuals and research groups.

Overall coordination

Image retrieval from medical collections

  • Henning Müller, University of Applied Sciences Western Switzerland, Sierre, Switzerland, henning.mueller@hevs.ch
  • Jayashree Kalpathy-Cramer, Harvard Medical School, USA, kalpathy@nmr.mgh.harvard.edu
  • Miguel Ruiz, University of North Texas, Denton, Texas, USA
  • Dina Demner Fushman, National Library of Medicine, Bethesda, Maryland, USA

Image annotation

Plant identification

Robot Vision


Publications
Various articles describing ImageCLEF in more detail have been published. These are available here.

Acknowledgements
Many organisations and individuals have supported ImageCLEF, but in particular we thank:
  • Dr. Carol Peters (co-ordinator of CLEF) for continual support and help in the organisation of ImageCLEF.
  • Dr. Thomas Deselaers for his help in past ImageCLEF editions (2004-2008) and for support of the ImageCLEF web pages.
  • The Khresmoi, Chorus+ and Promise projects for their support.
AttachmentSize
image010.jpg10.97 KB
image014.jpg3.38 KB
image016.jpg5.31 KB