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TU Berlin

Inhalt des Dokuments

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

GamingVideoSET: A Dataset for Gaming Video Streaming Applications
Zitatschlüssel barman2018b
Autor Barman, Nabajeet and Schmidt, Steven and Zadtootaghaj, Saman and Martini, Maria G. and Möller, Sebastian
Buchtitel 16th Annual Workshop on Network and Systems Support for Games (NetGames)
Seiten 1–6
Jahr 2018
ISSN 2156-8146
DOI 10.1109/NetGames.2018.8463362
Adresse Piscataway, NJ
Monat jun
Notiz electronic
Verlag IEEE
Wie herausgegeben full
Zusammenfassung This paper presents GamingVideoSET1, a dataset consisting of twenty-four uncompressed raw gaming videos of 30 seconds duration, 1080p resolution, and 30 fps for the research community working on gaming video quality assessment. Furthermore, the data set includes subjective quality assessment results for 90 video sequences obtained by encoding six different gaming videos using the H.264/MPEG-AVC codec standard in 15 different resolution-bitrate pairs (three resolution, five bitrates each). In addition to the reference videos, the dataset offers a total of 576 distorted videos in MP4 format, obtained by encoding the videos in 24 different resolution-bitrate pairs, and their objective quality assessment results (average and per-frame) using three video quality assessment metrics.1The database is available at https://kingston.box.com/v/GamingVideoSET
Link zur Publikation Link zur Originalpublikation Download Bibtex Eintrag

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