Team

FH-Prof. Dipl.-Ing. Mag. Dr. Matthias Zeppelzauer

  • Stellvertretender Forschungsgruppenleiter
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Senior Researcher
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Department Medien und Digitale Technologien
Arbeitsplatz: D - Heinrich Schneidmadl-Straße 15
T: +43/2742/313 228 652

Studiengänge

  • Medientechnik (BA)
  • Smart Engineering (BA)

Departments

  • Medien und Digitale Technologien

Kurzprofil

  • Senior Researcher am Institut für Creative Media Technologies - Fachochschule St. Pölten
  • Bakkalaureatstudium Medieninformatik und Magisterstudium Computergraphik und Bildverarbeitung - Technische Universität Wien
  • Wirtschaftsinformatik - Universität Wien und Technische Universität Wien
  • 2011: Doktoratsstudium im Bereich Audio- und Videoanalyse und Mustererkennung - Technische Universität Wien
  • Forscher am Institut für Softwaretechnik und interaktive Systeme - Technische Universität Wien
  • Forschungsschwerpunkte: inhaltsbasierte Audioanalyse (Bioakustik, Geräuscherkennung, Signalverbesserung), Bild- und Videoanalyse (Videosegmentierung, Objekterkennung, Social Media Analysis, Life Logging), sowie Datamining (Feature Selektion, Clustering)
  • Mitglied in Programmkomitees zahlreicher Fachzeitschriften und Konferenzen im Multimediabereich

Ausgewählte Publikationen

Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and analysis of heating energy demand for detached houses by computer vision. Energy & Buildings, 193, 29–35. https://doi.org/10.1016/j.enbuild.2019.03.036
Zielinski, B., Lipinski, Michal, Juda, M., Zeppelzauer, M., & Dlotko, Pawel. (2019). Persistence Bag-of-Words for Topological Data Analysis. In Proceedings of the International Joint Conference on Artificial Intelligence 2019 (p. 6). Macao, China.
Bernard, Jürgen, Hutter, M., Sedlmair, M., Zeppelzauer, Matthias, & Munzner, Tamara. (2019). A taxonomy of property measures to support the explainability of the interactive data labeling process. ACM Transactions on Interactive Intelligent Systems (TiiS), Submitted.
Horst, F., Slijepcevic, D., Lapuschkin, S., Raberger, A.-M., Zeppelzauer, M., Samek, W., … Horsak, B. (2019). Preprint: On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. Frontiers in Bioengineering and Biotechnology, Submitted.
Koch, D., Despotovic, M., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. In Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech - RETech"18 (pp. 12–17). Yokohama, Japan: ACM Press. https://doi.org/10.1145/3210499.3210526
Bernard, J., Zeppelzauer, M., Lehmann, M., Müller, M., & Sedlmair, M. (2018). Towards User-Centered Active Learning Algorithms. In Computer Graphics Forum (Vol. 37, pp. 121–132). Brno, Czech Republic. https://doi.org/10.1111/cgf.13406
Zeppelzauer, M., Ringot, A., & Taurer, F. (2018). SoniControl - A Mobile Ultrasonic Firewall. In Proceedings of the ACM International Conference on Multimedia. Seoul, South Korea: ACM Press. https://doi.org/10.1145/3240508.3241393
Zeppelzauer, M., Despotovic, M., Sakeena, M., Koch, D., & Döller, M. (2018). Automatic Prediction of Building Age from Photographs. In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR "18) (pp. 126–134). Yokohama, Japan: ACM Press. https://doi.org/10.1145/3206025.3206060
Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2018). VIAL – A Unified Process for Visual-Interactive Labeling. The Visual Computer, 34(1189), 16. https://doi.org/10.1007/s00371-018-1500-3
Zeppelzauer, M., Zielinski, B., Juda, M., & Seidl, M. (2018). A Study on Topological Descriptors for the Analysis of 3D Surface Texture. Journal on Computer Vision and Image Understanding (CVIU), 167, 74–88. https://doi.org/10.1016/j.cviu.2017.10.012
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., 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
Bernard, Jürgen, Hutter, M., Zeppelzauer, M., Fellner, D., & Sedlmair, M. (2017). Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study. IEEE Transactions on Visualization and Computer Graphics (TVCG), 24(1). https://doi.org/10.1109/TVCG.2017.2744818
Zeppelzauer, M., & Schopfhauser, D. (2016). Multimodal classification of events in social media. Image and Vision Computing. https://doi.org/http://dx.doi.org/10.1016/j.imavis.2015.12.004
Zaharieva, M., Del Fabro, M., & Zeppelzauer, M. (2015). Cross-Platform Social Event Detection. IEEE Multimedia, 22(3), 14. https://doi.org/10.1109/MMUL.2015.31
Salvador, A., Zeppelzauer, M., Manchón-Vizuente, D., Calafell, A., & Giró-i-Nieto, X. (2015). Cultural Event Recognition with Visual ConvNets and Temporal Models. In Proceedings of the CVPR Workshop ChaLearn Looking at People 2015. Boston, Massachusetts, United States: IEEE.
Zaharieva, M., Zeppelzauer, M., Del Fabro, M., & Schopfhauser, D. (2015). Social Event Mining in Large Photo Collections. In Proceedings of the International Conference on Multimedia Retrieval. Shanghai, China: ACM Press.
Zeppelzauer, M. (2013). Automated detection of elephants in wildlife video. EURASIP Journal on Image and Video Processing, 2013(1), 46. https://doi.org/10.1186/1687-5281-2013-46
Stöger, A., Heimann, G., Zeppelzauer, M., Ganswindt, A., Hensman, S., & Charlton, B. (2012). Visualizing Sound Emission of Elephant Vocalizations: Evidence for Two Rumble Production Types. Plos One, 7(11:e48907).
Mitrović, D., Zeppelzauer, M., & Breiteneder, C. (2010). Features for Content-Based Audio Retrieval. In Advances in Computers (Vol. 78, pp. 71–150). Burlington: Academic Press.

Projekte

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