Dr Nabajeet Barman

About

I am currently a Lecturer in Applied Computer Science at Kingston University London, United Kingdom. I obtained my PhD in 2019 from Kingston University as part of MSCA ITN QoE-Net after which I worked as a Post-Doctoral Research Fellow in the Wireless Multimedia and Networking Research Group (WMN) at Kingston University.

Along with my PhD, I completed an Executive MBA at Kingston Business School, London, in 2019. Before this, I completed my Bachelor of Technology degree in Electronics Engineering in 2011 from National Institute of Technology, Surat, India, and Masters in Information Technology, specializing in Communication Engineering and Media Technology from Universität Stuttgart, Germany in 2014. I worked at Bell Labs, Stuttgart, Germany, for 15 months as part of my internship and Master thesis.

I am currently a board member of Video Quality Expert Group (VQEG) as a part of the Computer Graphics Imagery (CGI) project and am also involved in ITU-T standardization activities.

Academic responsibilities

Lecturer in Applied Computer Science

Qualifications

  • PhD (2016-2019)
  • MBA (2018-2019)
  • MSc Information Technology (Specialization: Communication Engineering and Media Technology) (2011-14)
  • B.Tech Electronics Engineering (2007-11)

Research

My research interests include multimedia communications, machine learning, data science and more recently distributed ledger technologies and TEM (Technology and Engineering Management). 

Publications

Number of items: 18.

Article

Barman, Nabajeet, Gc, Deepak and Martini, Maria (2020) Blockchain for video streaming : opportunities, challenges and open issues. Computer, 53, pp. 45-56. ISSN (print) 0018-9162

Pezzulli, Sergio, Martini, Maria G. and Barman, Nabajeet (2020) Estimation of quality scores from subjective tests : beyond subjects' MOS. IEEE Transactions on Multimedia, ISSN (print) 1520-9210 (In Press)

Barman, Nabajeet, Zadtootaghaj, Saman, Schmidt, Steven, Martini, Maria G. and Moller, Sebastian (2020) An objective and subjective quality assessment study of passive gaming video streaming. International Journal of Network Management, 30(3), e2054. ISSN (print) 1055-7148

Barakabitze, Alcardo Alex, Barman, Nabajeet, Ahmad, Arslan, Zadtootaghaj, Saman, Sun, Lingfen, Martini, Maria G. and Atzori, Luigi (2020) QoE management of multimedia streaming services in future networks : a tutorial and survey. IEEE Communications Surveys and Tutorials, 22(1), pp. 526-565. ISSN (online) 1553-877X

Barman, Nabajeet, Jammeh, Emmanuel, Ghorashi, Seyed Ali and Martini, Maria G. (2019) No-reference video quality estimation based on machine learning for passive gaming video streaming applications. IEEE Access, 7, pp. 74511-74527. ISSN (online) 2169-3536

Barman, Nabajeet and Martini, Maria G. (2019) QoE modeling for HTTP adaptive video streaming : a survey and open challenges. IEEE Access, 7, pp. 30831-30859. ISSN (online) 2169-3536

Conference or Workshop Item

Ashimov, Darkhan, Martini, Maria and Barman, Nabajeet (2020) Quality assessment of gaming videos compressed via AV1. In: 12th International Conference on Quality of Multimedia Experience; 26 - 28 May 2020, Athlone, Ireland (presented online).

Avanaki, Nasim Jamshidi, Zadtootaghaj, Saman, Barman, Nabajeet, Schmidt, Steven, Martini, Maria G. and Möller, Sebastian (2020) Quality enhancement of gaming content using generative adversarial networks. In: 12th International Conference on Quality of Multimedia Experience; 26 - 28 May 2020, Athlone, Ireland (presented online).

Barman, Nabajeet and Martini, Maria (2020) An evaluation of the next-generation image coding standard AVIF. In: 12th International Conference on Quality of Multimedia Experience; 26 - 28 May 2020, Athlone, Ireland (presented online).

Barman, Nabajeet, Khan, Nabeel and Martini, Maria (2019) Analysis of spatial and temporal information variation for 10-bit and 8-bit video sequences. In: 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD); 11 - 13 Sep 2019, Limassol, Cyprus.

Zadtootaghaj, Saman, Barman, Nabajeet, Schmidt, Steven, Martini, Maria and Möller, Sebastian (2018) NR-GVQM : a no reference gaming video quality metric. In: 2018 IEEE International Symposium on Multimedia (ISM); 10 - 12 Dec 2018, Taichung City, Taiwan.

Barman, Nabajeet, Schmidt, Steven, Zadtootaghaj, Saman, Martini, Maria G. and Möller, Sebastian (2018) An evaluation of video quality assessment metrics for passive gaming video streaming. In: 23rd Packet Video Workshop 2018; 12-15 Jun 2018, Amsterdam, Netherlands.

Barman, Nabajeet, Zadtootaghaj, Saman, Martini, Maria, Möller, Sebastian and Lee, Sanghoon (2018) A comparative quality assessment study for gaming and non-gaming videos. In: 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX); 29 - 31 May 2018, Sardinia, Italy.

Barman, Nabajeet, Zadtootaghaj, Saman, Schmidt, Steven, Martini, Maria G. and Möller, Sebastian (2018) GamingVideoSET : a dataset for gaming video streaming applications. In: 2018 16th Annual Workshop on Network and Systems Support for Games (NetGames); 12-15 Jun 2018, Amsterdam, Netherlands.

Zadtootaghaj, Saman, Schmidt, Steven, Barman, Nabajeet, Möller, Sebastian and Martini, Maria G. (2018) A classification of video games based on game characteristics linked to video coding complexity. In: 2018 16th Annual Workshop on Network and Systems Support for Games (NetGames); 12-15 Jun 2018, Amsterdam, Netherlands.

Barman, Nabajeet and Martini, Maria G. (2017) H.264/MPEG-AVC, H.265/MPEG-HEVC and VP9 codec comparison for live gaming video streaming. In: 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX); 31 May - 02 Jun 2017, Erfurt, Germany.

Barman, Nabajeet, Valentin, Stefan and Martini, Maria G. (2016) Predicting link quality of wireless channel of vehicular users using street and coverage maps. In: 27th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2016); 4-7 Sep 2016, Valencia, Spain.

Thesis

Barman, Nabajeet (2019) An objective and subjective quality assessment for passive gaming video streaming. (PhD thesis), Kingston University, .

This list was generated on Thu Aug 13 05:02:40 2020 BST.

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