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Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks

  • Paul Clough
  • Michael Grubinger
  • Thomas Deselaers
  • Allan Hanbury
  • Henning Müller
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4730)

Abstract

This paper describes the general photographic retrieval and object annotation tasks of the ImageCLEF 2006 evaluation campaign. These tasks provided both the resources and the framework necessary to perform comparative laboratory-style evaluation of visual information systems for image retrieval and automatic image annotation. Both tasks offered something new for 2006 and attracted a large number of submissions: 12 groups participated in ImageCLEFphoto and 3 groups in the automatic annotation task. This paper summarises these two tasks including collections used in the benchmark, the tasks proposed, a summary of submissions from participating groups and the main findings.

Keywords

Image Retrieval Relevance Feedback Query Expansion Mean Average Precision Relevant Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Paul Clough
    • 1
  • Michael Grubinger
    • 2
  • Thomas Deselaers
    • 3
  • Allan Hanbury
    • 4
  • Henning Müller
    • 5
  1. 1.Sheffield University, SheffieldUK
  2. 2.Victoria University, MelbourneAustralia
  3. 3.Computer Science Department, RWTH Aachen UniversityGermany
  4. 4.Vienna University of Technology, ViennaAustria
  5. 5.University and Hospitals of GenevaSwitzerland

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