#Artificial Intelligence

By using Artificial Intelligence, machines and programmes learn from experience, react to new and unforeseeable situations, and are able to solve complex tasks and put information in wider contexts – similar to humans.

Projects

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.

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.

Publications

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
Zeppelzauer, M. (2018, January). Ultrasonic Communication Risks and Chances of a Novel Technology. Invited talk presented at the Netzpolitischer Abend, Wien, Austria.
Zeppelzauer, M., Despotovic, M., Sakeena, M., Koch, D., & Döller, M. (2018). Automatic Prediction of Building Age from Photographs. In Proceedings of the 2018 ACM International Conference on Multimedia Retrieval - ICMR "18 (pp. 126–134). Yokohama, Japan: ACM Press. https://doi.org/10.1145/3206025.3206060
Zeppelzauer, M. (2018). Automatic Prediction of Building Age from Photographs. Yokohama, Japan.
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10.1109/TVCG.2017.2785271
Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. Gait & Posture, 65. https://doi.org/10.1016/j.gaitpost.2018.06.155
Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. In Tagungsband des 2ten GAMMA Kongress (Gesellschaft für die Analyse Menschlicher Motorik in ihrer klinischen Anwendung). Hamburg, Deutschland.
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., … Horsak, B. (2018). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 5(22), 1653–1661. https://doi.org/10.1109/JBHI.2017.2785682
Koch, D., Despotovic, M., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. Yokohama, Japan.
Koch, D., Despotovic, M., Sascha, L., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Real Estate Image Analysis - A Literature Review. Real Estate Economics Journal, to Appear.

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