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.