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Dr Nabajeet Barman
Dr Nabajeet Barman
Principal Video Systems Engineer, Research at Brightcove
Verified email at brightcove.com - Homepage
Title
Cited by
Cited by
Year
QoE modeling for HTTP adaptive video streaming: A Survey and Open Challenges
N Barman, M Martini
IEEE Access, 2019
1142019
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
1072019
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
552018
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
462019
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
452018
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
382018
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
372017
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
352018
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
342018
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
202018
Demi: Deep video quality estimation model using perceptual video quality dimensions
S Zadtootaghaj, N Barman, RRR Rao, S Göring, MG Martini, A Raake, ...
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020
192020
Blockchain for video streaming: opportunities, challenges, and open issues
N Barman, GC Deepak, MG Martini
Computer 53 (7), 45-56, 2020
142020
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
142019
A Large-scale Evaluation of the bitstream-based video-quality model ITU-T P. 1204.3 on Gaming Content
RRR Rao, S Göring, R Steger, S Zadtootaghaj, N Barman, S Fremerey, ...
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020
102020
User Generated HDR Gaming Video Streaming: Dataset, Codec Comparison, and Challenges
N Barman, MG Martini
IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1236-1249, 2021
92021
Estimation of quality scores from subjective tests-beyond subjects’ mos
S Pezzulli, MG Martini, N Barman
IEEE Transactions on Multimedia 23, 2505-2519, 2020
92020
An evaluation of the next-generation image coding standard AVIF
N Barman, MG Martini
2020 Twelfth International Conference on Quality of Multimedia Experience …, 2020
92020
Proposal of a Content Classification for Cloud Gaming Services
S Schmidt, SS Sabet, S Zadtootaghaj, S Möller, C Griwodz, N Barman, ...
ITU-T Study Group 12, 2019
92019
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
92016
Requirement Specification and Possible Structure for an Opinion Model Predicting Gaming QoE (G. OMG)
S Schmidt, S Zadtootaghaj, S Möller, F Metzger, M Hirth, M Sužnjevic, ...
ITU-T Study Group 12, 2018
72018
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