Research focus and projects

The key research areas – with a special focus on research data – are in the areas of visual analytics, information and media retrieval, as well as usability:

  • Analysis and automatic annotation of visual data (images, videos, 3D, etc.)
  • Adaptive classification procedures for data from various domains
  • Deep learning for the analysis and annotation of media data
  • Similarity search ("query by example")
  • Intelligent representation and visualisation of large media collections
  • Interactive search and exploration of large media collections
  • Usability aspects in the context of conducting searches in large media collections


  • ExpResViP - Exploitation of research results through visual patent retrieval
  • iART - An interactive analysis and retrieval tool for supporting image-oriented research processes
  • CLEOPATRA - Cross-lingual Event-centric Open Analytics Research Academy
  • VIVA - Development of a software system for scene and person recognition for the automatic indexing of scientifically used video archives (DFG)
  • SALIENT - Search as Learning – Investigating, Enhancing and Predicting Learning during Multimodal Web Search (Leibniz Association)
  • InclusiveOCW - Inclusive, collaborative creation and usage of open courseware in the professional promotion of people with visual impairments (BMBF)
  • Integration of a new VCD module into the AV portal