Masterstudium Visual Computing - Fakultät für Informatik, TU Wien

Media Understanding (mind. 6.0 Ects)
• Fundamentals of media understanding: Extraction of low-level perceptual features
from audiovisual media, merging of features, enrichment with context information
and probabilistic similarity measurement.
• Investigation of advanced methods of media understanding: Extraction of semantic
features from perceivable media as well as time-based sensors, information ltering,
classication by machine learning algorithms and categorization by psychological
similarity models.
• Merging of concepts from media theory, psychophysics and media understanding
for deeper analysis. Investigation of models from various areas such as brain science,
learning theory, dynamic systems, and information theory. Reection and amalgamation
of similar bits of theory of dierent origin in group processes.
Methoden für Visual Computing (mind. 6.0 Ects) Das Modul bietet eine Auswahl
von mathematischen und informatischen Vertiefungsmöglichkeiten, die als theoretische
Basis für vertiefende Lehrveranstaltungen aus anderen Modulen dienen.
Mustererkennung Vertiefung (mind. 6.0 Ects) Covered areas are advanced methodology
for problem solving in pattern recognition. Students are required to have
fundamental knowledge about basic notions of these elds. After completing this module
students will have a specic knowledge in dierent areas of pattern recognition and an
extended repertoire for addressing challenging problems with eective methods, which
enables them to understand state of the art literature, and allows them to implement
new methods.
Virtual Reality und Augmented Reality (mind. 6.0 Ects) This module introduces
Virtual and Augmented Reality (VR/AR). Students learn basics about VR/AR hardware
and software, 3D input and output technologies, user specic aspects, usability and
psychological aspects. An overview of current areas of research is given as well. Knowledge
in all these areas is required when developing VR/AR applications. Both VO and
LU "Virtual and Augmented Realityäre compulsory in this module. Additional courses
are oered that go beyond.
Visualisierung Vertiefung (mind. 6.0 Ects) Es werden Detailkentnisse zu ausgewählten
Teilbereichen der Wissenschaftlichen Visualisierung, Informationsvisualisierung
und Visuellen Analyse vermittelt und praktisch erprobt. Es wird Wert auf die Umsetzung
von theoretischem Wissen der Visualisierung in speziellen Anwendungen (z.B.,
Visualisierung medizinischer Daten) gelegt. Die Studierenden sollen zur selbständigen
Aufarbeitung aktueller Forschungsergebnisse aus der Visualisierung herangeführt werden.
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