Evaluation and benchmarking of information retrieval methods, mainly automatic but also user centered strategies. Test collections are the basis for evaluation in many research domains. Acquiring data in a very standardized way and keeping the goal in mind at the data acquisition time is important to ensure the validity of the results. Our test collections are mainly medical and include acquisitions of electro-myography (EMG) data, data from body movement sensors, data from force strength sensors, image data sets and (for the medical datasets) also clinical parameters that can be important for interpreting signals and images.
Research interests
- Multimodal information retrieval combining signals/images with context of textual/structured data
- Image retrieval and information retrieval evaluation
- eHealth and semantic interoperability
- 3D data processing and analysis