Inhalt des Dokuments
Saman Zadtootaghaj
[1]
- © Copyright??
Research Field
- Assessing
and predicting QoE of Gaming Applications
Research Topics
- Video quality assessment of computer generated content
- Cloud Gaming Quality of Experience
- Deep learning-based quality assessment of image/video content
- Image/video quality enhancement
Current Project:
Adaptive Edge/Cloud Compute and Network Continuum over a Heterogeneous Sparse Edge Infrastructure to Support Nextgen Applications (ACCORDION) [2]
Past Project:
Methods and Models for assessing and predicting the QoE linked to Mobile Gaming (QoE-NET/MSCA-ITN Network) [3]
Biography
Saman Zadtootaghaj is a researcher at the Quality and Usability Lab at Technische Universitat Berlin working on modeling the gaming quality of experience under the supervision of Prof. Dr.-Ing. Sebastian Moller. His main interest is subjective and objective quality assessment of Computer-Generated content. He received his bachelor degree from IASBS and master degree in information technology from University of Tehran.
He worked as a researcher at Telekom Innovation Laboratories of Deutsche Telekom AG from 2016 to 2018 as part of European project called QoE-Net. He is currently the chair of Computer-Generated Imagery group at Video Quality Expert Group.
Roles:
Chair of Computer-Generated Imagery (CGI) at VQEG
Local coordinator of HCID track of EIT master program
Visiting Researcher:
MMSPG lab, EPFL (2017)
LST group, DFKI (2019)
Teaching experience:
Advance Projects at Quality and Usability Lab (Deep Learning for Video Quality Assessment and Enhancement) SS2020
Usability engineering exercise SS2017/SS2018/SS2019/SS2020
Quality and Usability Seminar (Applied statistic) WS 2019-2020
Quality and Usability Seminar (Gamification) SS2018
Teacher assistant: Multiagent (University of Tehran 2014), computer networks (IASBS 2011).
Talks:
VQEG meetings at Nokia, Madrid [4], March 2018
VQEG meetings at Google (remote), USA [5], November 2018
VQEG Meetings at Deutsche Telekom, Germany [6], March 2019
VQEG meetings at Tencent, China, [7] October 2019
VQEG meeting, Online Meeting, [8] March 2020
Involvement in Standardization Activities:
Active in the following work items:
ITU-T P.BBQCG: Parametric bitstream-based Quality Assessment of Cloud Gaming Services
ITU-T G.CMVTQS: Computational model used as a QoE/QoS monitor to assess videotelephony services
ITU-T G.OMMOG: Opinion Model for Mobile Online Gaming applications
Contributed to the following recommendations:
ITU-T G.1032: Influence factors on gaming quality of experience [9]
ITU-T P.809: Subjective evaluation methods for gaming quality [10]
ITU-T G.1072: Opinion model predicting gaming quality of experience for cloud gaming services [11]
Reviewed papers for TCSVT, Quality and User Experience journal, Journal of Electronic Imaging, QoMEX 2017-2019, ICC 2019 and ICME 2020, PQS workshop 2016
Tools for Quality Prediction of Gaming Content:
NDNetGaming: Deep Learning based Quality metric for Gaming Content [12]
GamingPara: Gaming Parametric based Video Quality Models [13]
Implementation of ITU-T Recommendation G.1072 [14]
Datasets:
GamingVideoSet: https://kingston.box.com/v/GamingVideoSET [15]
Cloud Gaming Video Dataset: https://github.com/stootaghaj/CGVDS [16]
Image Gaming Quality Dataset: https://github.com/stootaghaj/GISET [17]
Find me on ResearchGate [18], LinkedIn [19], Scholar, GitHub [20].
Address
Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz
7
D-10587 Berlin, Germany
Email: saman.zadtootaghaj@qu.tu-berlin.de [21]
Tel: +49 30 8353 58394
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