The combination of techniques for automatic semantic image annotation generation in the IMAGINATION application

  • Authors:
  • Andreas Walter;Gabor Nagypal

  • Affiliations:
  • FZI Research Center for Information Technologies, Information Process Engineering, Karlsruhe, Germany;disy Informationssysteme GmbH, Karlsruhe, Germany

  • Venue:
  • ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
  • Year:
  • 2008

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Abstract

The IMAGINATION project provides image-based navigation for digital cultural and scientific resources. Users can click on parts of an image to find other, interesting images to a given context. In this paper, we present the core parts of the IMAGINATION application. To allow the navigation through images, this application automatically generates high quality semantic metadata. Therefore it combines automated processes for person and object detection, face detection and identification in images together with text mining techniques that exploit domain specific ontologies.