TU Berlin

Quality and Usability LabSebastian Arndt

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Dr.-Ing. Sebastian Arndt


Research Field:

  • Quality

Research Topics:
  • Neurotechnology
Current ProjectPast Projects

  Sebastian Arndt is a researcher at the Quality and Usability Lab of the Telekom Innovation Laboratories, TU Berlin. He studied Computer Science at Technische Universität Berlin and received his diploma in 2010. He received his doctoral degree (Dr.-Ing.) in 2015 with the thesis title 'Neural Correlates of Quality During Perception of Audiovisual Stimuli'. His current research focus is on physiological changes during the perception of audiovisual quality. 2012 he was a visiting researcher at MuSAE Lab (Montreal, Canada) in order to work on multimodal neural correlates for synthesized speech.    

Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
+49 30 8353 58328
+49 1709147458    E-Mail: 


Enhancing Video Streaming Using Real-Time Gaze Tracking
Zitatschlüssel arndt2016b
Autor Arndt, Sebastian and Antons, Jan-Niklas
Buchtitel Proceedings of the 5th ISCA/DEGA Workshop on Perceptual Quality of Systems (PQS 2016)
Seiten 11–14
Jahr 2016
ISSN 2312-2846
DOI 10.21437/PQS.2016-3
Ort Berlin, Germany
Adresse Baixas, France
Monat aug
Notiz Online
Verlag ISCA
Serie PQS
Wie herausgegeben Full
Zusammenfassung While users are watching videos, they can only focus andevaluate one small part of the presented video frame whichis within the focal view point. Video coding however oftenassumes equal distribution of attention or has predefined areasof interest, regardless of where the observer is actually lookingat. In this paper, we propose a system that uses real-timeinformation of eye gaze in order to perform video coding moreappropriate to the viewers’ attention focus. Using subjectivequality evaluation performed after using a prototype, we showthat test participants evaluate attention focus based codingbetter than traditional coding. On the long run this result canstimulate more research in the domain of real-time gaze basedvideo coding.
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