#Computer Vision
Computer Vision deals with the automatic recognition, processing and understanding of digital visual content such as images or videos
Publications
Franziska, B., Erwin, F., & Patrik, L. (2023, June 14). AniVision: Machine Learning as a Tool for Studying Animation in Ephemeral Films [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://www.sas34.org/
Erwin, F. (2023, June 14). Animation Studies and Digital Humanities [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://www.sas34.org/
Erwin, F. (2023, August 6). Projektvorstellung AniVision [Vortrag]. Tools und Plattformen in der Praxis – Workshop der DHd AG Film und Video, Online. https://dhdagfilm.hypotheses.org/
Erwin, F. (2023, February 3). AniVision: A Digital Humanities Approach to Researching Archives [Vortrag]. Workshop: Archiving and Canonizing Animation. Animation and Contemporary Media Culture., Dresden.
Erwin, F. (2022, February 10). Writing the Histories of Animation in the Time of Artificial Intelligence [Vortrag]. StopTrik Festival, Maribor. https://www.stoptrik.com/
Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. Proc. 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground walking in a fully immersive Virtual Reality: Preliminary results of a comprehensive study on the effects on walking biomechanics. Gait & Posture, 90, 100–101. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
Girsule, B., Rottermanner, G., Jandl, C., & Moser, T. (2021). Machine Learning Support for Repetitive Tasks in Metal Processing SMEs. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1–6. https://doi.org/10/gnhmb2
Blumenstein, K., Oliveira, V., Boucher, M., Größbacher, S., Seidl, M., & Aigner, W. (2021). Situated Visualization of Historical Timeline Data on Mobile Devices: Design Study for a Museum Application. Human-Computer Interaction – INTERACT 2021, 536–557. https://doi.org/10/gnhmb3
Boucher, M., Blumenstein, K., Oliveira, V. A. D. J., & Seidl, M. (2021). BYOD - Bringing Your Own Device into Single-Surface Interaction Models. TEI 2021. TEI 2021, Salzburg, Austria. https://doi.org/10/gnt2v6