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Steven Schmidt

Q&U
Lupe

Research Field

  • Quality of Experience (QoE) for Cloud Gaming Services
  • Engagement in Virtual Reality

Research Topics

  • Identification and quantification of perceptual quality dimensions for gaming QoE
  • Prediction of gaming QoE based on encoding and network parameters
  • Classification of game content
  • Crowdsourcing for gaming evaluation

Biography

Steven Schmidt received his M.Sc. degree in Electrical Engineering at the TU Berlin with a major in Communication Systems. Since 2016 he is employed as a research assistant at the Quality and Usability Lab where he is working towards a PhD in the field of Quality of Experience in Mobile Gaming. 

Projects

ITU-T SG12 Activities:

  • ITU-T Rec. G.1032 - Influence Factors on Gaming Quality of Experience (2017)
  • ITU-T Rec. P.809 - Subjective Evaluation Methods for Gaming Quality (2018)
  • ITU-T Rec. G.1072 - Opinion Model Predicting Gaming QoE for Cloud Gaming Services (2020)

Address

Quality and Usability Lab
Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany

Tel:  +49 151 12044969

Publications

Utke, Markus and Zadtootaghaj, Saman and Schmidt, Steven and Bosse, Sebastian and Möller, Sebastian (2020). NDNetGaming-development of a no-reference deep CNN for gaming video quality prediction. Multimedia Tools and Applications. Springer, 1–23.


Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian (2020). Corrigendum for ITU-T Recommendation G.1072: Opinion Model Predicting Gaming QoE. , 1–17.


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