#Visual Computing

Data visualisation transforms figures and images. It makes complex information more easily accessible, enables new insights and promotes knowledge.


InnoFIT - novel forecasting tools

Improvement of forecasting processes and planning quality with the use of information technologies to increase the competitiveness of Austrian companies in the global market.

ImmBild - Location Assessment by Computer Vision

Location is key – especially when it comes to real estate value. “ImmBild” aims at developing a new method for estimating property value using computer vision of satellite data.


Multi-Device Ecologies Towards Elaborate User Experience discusses issues of relevance regarding interaction design and user experience design and aims at an integrated use of media technology devices...

VisOnFire. Understanding and visualizing workflows

Visual Analysis of Large and Heterogeneous Scientific Workflows for Analytical Provenance. - A new visual forensic tool realizes the visualisation of data analysis workflows and helps to increase the ...

InfraBase - Automatic Building Footprint Segmentation

The project deals with the fully automatic analysis of satellite imagery. The goal is to extract a pixel-accurate segmentation of building roofs to generate a rich meta-data layer.


Seidl, Markus, & Zeppelzauer, Matthias. (2019). Towards Distinction of Rock Art Pecking Styles with a Hybrid 2D/3D Approach. In Proceedings of the International Conference on Content-based Multimedia Indexing (CBMI) (p. 4). Dublin, Irland.
Stoiber, C., Rind, A., Grassinger, F., Gutounig, R., Goldgruber, E., Sedlmair, M., … Aigner, W. (2019). netflower: Dynamic Network Visualization for Data Journalists. Computer Graphics Forum (EuroVis "19), 38(3).
Rottermanner, G., Settgast, V., Judmaier, P., Eschbacher, K., & Rokitansky, C.-H. (2019). VAST: A High-Fidelity Prototype for Future Air Traffic Control Scenarios. In Proceedings of the 17th European Conference on Computer-Supported Cooperative Work - Demos and Posters (Vol. Reports of the European Society for Socially Embedded Technologies: vol. 3, no. 2). Salzburg, Austria: European Society for Socially Embedded Technologies (EUSSET).
Dahnert, M., Rind, A., Aigner, W., & Kehrer, J. (2019). Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context. ArXiv:1906.07377 [Cs].
Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and Analysis of Heating Energy Demand and Year of Construction for Detached Houses by Computer Vision. Energy & Buildings, 193, 29–35. https://doi.org/10.1016/j.enbuild.2019.03.036
Rind, A., Wagner, M., & Aigner, W. (2019). Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics. In Proc. Workshop on Visual Analytics in Healthcare (VAHC 2019).
Horsak, B. (2019). Reliabilität von Messergebnissen in der Gang- und Bewegungsanalyse – Erfahrungsbericht zu gängigen Maßzahlen. Invited talk presented at the GAMMA Workshop im Rahmen des 11. Kongress der Deutschen Gesellschaft für Biomechanik, Berlin.
Streit, M., Aigner, W., & Girardi, D. (2018, March). Injecting Life into Visualizations for Biomedical Research. Presented at the DBMI Open Insights Seminar, Harvard University.
Niederer, C., Blumenstein, K., Wagner, M., Emrich, S., & Aigner, W. (2018). Visualizing Text Data in Space and Time to Augment a Political News Broadcast on a Second Screen. In 9th International Conference on Information Visualization Theory and Applications (IVAPP 2018). Madeira: SCITEPRESS.
Niederer, C., Stitz, H., Hourieh, R., Grassinger, F.-G., Aigner, W., & Streit, M. (2018). TACO: Visualizing Changes in Tables Over Time. IEEE Transactions on Visualization and Computer Graphics (InfoVis "17), 24(1), 677–686. https://doi.org/10.1109/TVCG.2017.2745298