Dr Nabajeet Barman
Dr Nabajeet Barman
Lecturer in Applied Computer Science, Kingston University, London
Verified email at kingston.ac.uk - Homepage
Title
Cited by
Cited by
Year
An evaluation of video quality assessment metrics for passive gaming video streaming
N Barman, S Schmidt, S Zadtootaghaj, MG Martini, S Möller
Proceedings of the 23rd packet video workshop, 7-12, 2018
242018
QoE modeling for HTTP adaptive video streaming: A Survey and Open Challenges
N Barman, M Martini
IEEE Access, 2019
192019
H. 264/MPEG-AVC, H. 265/MPEG-HEVC and VP9 codec comparison for live gaming video streaming
N Barman, MG Martini
2017 Ninth International Conference on Quality of Multimedia Experience …, 2017
192017
A comparative quality assessment study for gaming and non-gaming videos
N Barman, MG Martini, S Zadtootaghaj, S Möller, S Lee
2018 Tenth International Conference on Quality of Multimedia Experience …, 2018
182018
GamingVideoSET: A dataset for gaming video streaming applications
N Barman, S Zadtootaghaj, S Schmidt, MG Martini, S Möller
2018 16th Annual Workshop on Network and Systems Support for Games (NetGames …, 2018
172018
A classification of video games based on game characteristics linked to video coding complexity
S Zadtootaghaj, S Schmidt, N Barman, S Möller, MG Martini
2018 16th Annual Workshop on Network and Systems Support for Games (NetGames …, 2018
122018
QoE management of multimedia streaming services in future networks: a tutorial and survey
AA Barakabitze, N Barman, A Ahmad, S Zadtootaghaj, L Sun, MG Martini, ...
IEEE Communications Surveys & Tutorials 22 (1), 526-565, 2019
112019
NR-GVQM: A no reference gaming video quality metric
S Zadtootaghaj, N Barman, S Schmidt, MG Martini, S Möller
2018 IEEE International Symposium on Multimedia (ISM), 131-134, 2018
112018
No-reference video quality estimation based on machine learning for passive gaming video streaming applications
N Barman, E Jammeh, SA Ghorashi, MG Martini
IEEE Access 7, 74511-74527, 2019
62019
An objective and subjective quality assessment study of passive gaming video streaming
N Barman, S Zadtootaghaj, S Schmidt, MG Martini, S Möller
International Journal of Network Management, e2054, 2018
62018
Predicting link quality of wireless channel of vehicular users using street and coverage maps
N Barman, S Valentin, MG Martini
2016 IEEE 27th Annual International Symposium on Personal, Indoor, and …, 2016
62016
An objective and subjective quality assessment for passive gaming video streaming
N Barman
Kingston University, 2019
12019
Estimation of Quality Scores from Subjective Tests-beyond Subjects' MOS
S Pezzulli, MG Martini, N Barman
IEEE Transactions on Multimedia, 2020
2020
Quality enhancement of gaming content using generative adversarial networks
NJ Avanaki, S Zadtootaghaj, N Barman, S Schmidt, MG Martini, S Möller
2020 Twelfth International Conference on Quality of Multimedia Experience …, 2020
2020
Quality assessment of gaming videos compressed via AV1
D Ashimov, MG Martini, N Barman
2020 Twelfth International Conference on Quality of Multimedia Experience …, 2020
2020
An evaluation of the next-generation image coding standard AVIF
N Barman, MG Martini
2020 Twelfth International Conference on Quality of Multimedia Experience …, 2020
2020
Blockchain for video streaming: opportunities, challenges and open issues
N Barman, D Gc, M Martini
Computer, 2020
2020
Analysis of spatial and temporal information variation for 10-bit and 8-bit video sequences
N Barman, N Khan, MG Martini
2019 IEEE 24th International Workshop on Computer Aided Modeling and Design …, 2019
2019
Objective and subjective quality assessment for gaming videos
N Barman, MG Martini
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Articles 1–19