Inhalt des Dokuments
Saman Zadtootaghaj
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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:
Past Project:
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, March 2018
VQEG meetings at Google (remote), USA, November 2018
VQEG Meetings at Deutsche Telekom, Germany, March 2019
VQEG meetings at Tencent, China, October 2019
VQEG meeting, Online Meeting, 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
ITU-T P.809: Subjective evaluation methods for gaming quality
ITU-T G.1072: Opinion model predicting gaming quality of experience for cloud gaming services
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
GamingPara: Gaming Parametric based Video Quality Models
Implementation of ITU-T Recommendation G.1072
Datasets:
GamingVideoSet: https://kingston.box.com/v/GamingVideoSET
Cloud Gaming Video Dataset: https://github.com/stootaghaj/CGVDS
Image Gaming Quality Dataset: https://github.com/stootaghaj/GISET
Find me on ResearchGate, LinkedIn, Scholar, GitHub.
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
Tel: +49 30 8353 58394
Publications:
| Zitatschlüssel | perkis2020a |
|---|---|
| Autor | Perkis, Andrew and Timmerer, Christian and Baraković, Sabina and Husić, Jasmina Baraković and Bech, Søren and Bosse, Sebastian and Botev, Jean and Brunnström, Kjell and Cruz, Luis and De Moor, Katrien and Saibanti, Andrea de Polo and Durnez, Wouter and Egger-Lampl, Sebastian and Engelke, Ulrich and Falk, Tiago H. and Hameed, Asim and Hines, Andrew and Kojic, Tanja and Kukolj, Dragan and Liotou, Eirini and Milovanovic, Dragorad and Möller, Sebastian and Murray, Niall and Naderi, Babak and Pereira, Manuela and Perry, Stuart and Pinheiro, Antonio and Pinilla, Andres and Raake, Alexander and Agrawal, Sarvesh Rajesh and Reiter, Ulrich and Rodrigues, Rafael and Schatz, Raimund and Schelkens, Peter and Schmidt, Steven and Sabet, Saeed Shafiee and Singla, Ashutosh and Skorin-Kapov, Lea and Suznjevic, Mirko and Uhrig, Stefan and Vlahović, Sara and Voigt-Antons, Jan-Niklas and Zadtootaghaj, Saman |
| Seiten | 1–15 |
| Jahr | 2020 |
| DOI | 10.1109/QoMEX48832.2020.9123133 |
| Journal | arXiv preprint arXiv:2007.07032 |
| Monat | may |
| Verlag | European Network on Quality of Experience in Multimedia Systems and Services, 14th QUALINET meeting |
| Wie herausgegeben | online |
| Zusammenfassung | With the coming of age of virtual/augmented reality and interactive media, numerous defi nitions, frameworks, and models of immersion have emerged across diff erent fi elds ranging from computer graphics to literary works. Immersion is oftentimes used interchangeably with presence as both concepts are closely related. However, there are noticeable interdisciplinary diff erences regarding defi nitions, scope, and constituents that are required to be addressed so that a coherent understanding of the concepts can be achieved. Such consensus is vital for paving the directionality of the future of immersive media experiences (IMEx) and all related matters.The aim of this white paper is to provide survey of defi nitions of immersion and presence which leads to a defi nition of immersive media experience (IMEx). The Quality of Experience (QoE) for immersive media is described by establishing a relationship between the concepts of QoE and IMEx followed by application areas of immersive media experience. Infl uencing factors on immersive media experience are elaborated as well as the assessment of immersive media experience. Finally, standardization activities related to IMEx are highlighted and the white paper is concluded with an outlook related to future developments. |
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