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Saman Zadtootaghaj

Lupe [1]

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

 

 

Publications:

Corrigendum for ITU-T Recommendation G.1072: Opinion Model Predicting Gaming QoE
Citation key schmidt2020e
Author Schmidt, Steven and Zadtootaghaj, Saman and Möller, Sebastian
Pages 1–17
Year 2020
Address CH-Geneva
Month sep
How Published full
Institution ITU
Bibtex Type of Publication ITU-T Contribution
Link to original publication [22] Download Bibtex entry [23]
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