The main research areas are Visual Analytics, Information and Multimedia Retrieval, and Search as Learning:

  • Semantic (automatic) annotation of visual data (images, video, 3D, etc.)
  • Automatic understanding of multimodal information
  • Digital library as a virtual place of learning and study
  • Informal learning on the web with multimedia data
  • Deep learning and adaptive machine learning
  • Interactive exploration of media archives and usability aspects.

For more information on publications, research projects and collaborations, please visit the TIB pages of the Visual Analytics research group.