Research Projects

Visual Quality Assessment

We design prediction algorithms for the visual quality of images and videos, with respect to technical and perceptual aspects e.g. quality of experience (QoE). The tools of our trade include crowdsourcing, machine learning i.e. deep networks, eye-tracking. Consequently, we are creating massive multimedia databases that are suitable for training generic and accurate VQA models.


We develop methods for data acquisition, analysis, modeling, optimization and visualization of performance parameters in endurance sports with emphasis on competitive cycling. In comparison with other endurance sports road cycling offers some crucial advantages for research:

  • Lab and field studies possible
  • Sensors integrate unobtrusively
  • Mechanical model of cycling available
  • Performance measurement (power) readily available

Completed Research Projects

Here you can find completed research projects of our work group: