The scientists of the SFB-TRR 161 develop software applications, collect research data, and create benchmarking data sets within their scientific work. Here we provide access to our results for other scientists and developers.


The TRRojan is an extensible, cross-platform benchmarking framework for visual computing applications. It uses a plugin architecture to be easily extended with additional applications. The framework allows for automatically evaluating all combinations of influencing factors (rendering parameters, resolution, data set, etc.) based on a simple declarative description. The TRRojan is designed to effectively carry out quantitative benchmarks in a clean, reproducible, and easy-to-use manner.

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Visual Quality Databases

A group of our scientists 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 their trade include crowdsourcing, machine learning i.e. deep networks, eye-tracking. Consequently, they are creating massive multimedia databases that are suitable for training generic and accurate VQA models.

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