#Computer Vision
Computer Vision befasst sich damit, digitale visuelle Inhalte wie Bilder oder Videos automatisch zu erkennen, zu verarbeiten und zu verstehen.
Publikationen
Feyersinger, Erwin. (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/
Bruckner, Franziska, Feyersinger, Erwin, & Lechner, Patrik. (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/
Feyersinger, Erwin. (2023, August 6). Projektvorstellung AniVision [Vortrag]. Tools und Plattformen in der Praxis – Workshop der DHd AG Film und Video, Online. https://dhdagfilm.hypotheses.org/
Feyersinger, Erwin. (2023, February 3). AniVision: A Digital Humanities Approach to Researching Archives [Vortrag]. Workshop: Archiving and Canonizing Animation. Animation and Contemporary Media Culture., Dresden.
Vulpe-Grigorasi, A. (2023). Cognitive load assessment based on VR eye-tracking and biosensors. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 589–591. https://doi.org/10.1145/3626705.3632618
Vulpe-Grigorasi, A. (2023). Multimodal machine learning for cognitive load based on eye tracking and biosensors. 2023 Symposium on Eye Tracking Research and Applications, 1–3. https://doi.org/10.1145/3588015.3589534
Feyersinger, Erwin. (2022, February 10). Writing the Histories of Animation in the Time of Artificial Intelligence [Vortrag]. StopTrik Festival, Maribor. https://www.stoptrik.com/
Leung, V., Simone Hofbauer, Leonhartsberger, J., Kee, C., Liang, Y., & Schmied, R. (2022, 05). Influence of education systems on children’s visual behaviours as an environmental risk factor for myopia: a quantitative analysis with LIDAR-sensor tracking in classrooms. 18th International Myopia Conference, Rotterdam.
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