Dr Angeliki Katsenou

Assistant Professor

    Trinity College Dublin, IE

    Honorary Senior Research Fellow

    University of Bristol, UK

    angeliki.katsenou at tcd.ie


I am currently an Assistant Professor at Trinity College Dublin, IE, and affiliated with the Sigmedia group led by Prof Anil Kokaram. I teach Motion Pictures and Computational Methods to MSc and 5th year students.

Before joining Trinity, I was a Senior Research Fellow, affiliated with the Visual Information Laboratory, led by Prof David R. Bull, within the Department of Electrical and Electronic Engineering, University of Bristol, UK. I still hold a Honorary Senior Research Fellow position. I started my post-doc years at Bristol as an Experienced Marie-Sklodowska Curie Fellow in 2015. In 2018, I was awarded an Early-Career Leverhulme Fellowship. I received my Ph.D. in July 2014 from the Department of Computer Science and Engineering, University of Ioannina, Greece, under the guidance of Prof Lisimachos P. Kondi.

I have been involved in the organisation of international events and conferences. Most recent activities include leading the bid to host PCS 2021 in Bristol and serving as Technical Programme Chair for it, organising a Grand Challenge in IEEE ICME 2020 and IEEE ICIP 2017, Publicity Chair for PCS 2018, and more.

My main research interests include topics around the media communications pipeline: acquisition, analysis, compression, and communication. Other side research activities include biomedical engineering applications such as personalised patient treatment, prognosis models for cancer using clinical, proteomics and other types of biomedical data.

Research Areas

  • Perceptual Video Coding
    • Content-aware compression
    • Perceptually aligned parameter selection
    • Rate quality optimisation

News & Activities

  • Sep 2022: 5G Edge XR wins IBC 2022 Innovation Award.
  • March 2022: Starting as Assistant Professor at Trinity College University, Ireland.
  • Feb 2022: Journal paper accepted in Special Issue at Frontiers in Signal Processing.
  • May 2021: Journal Paper accepted in Special Issue "Applied Artificial Intelligence and Machine Learning for Video Coding and Streaming", IEEE Open Journal of Signal Processing.
  • May 2021: Participation in a Panel at the University of Ioannina, Greece. [video]


  • 2021-2022 5G Edge XR: Coding for Volumetric Content Delivery
  • 2021-2022 Sustainable Video Communications, Bristol+Bath Creative Cluster, UKRI
  • 2018-2021 Leverhulme Early-Career Fellowship: Deep Video Analysis and Compression
  • 2017-2018 EPSRC Platform Grant: Video Texture Analysis
  • 2015-2017 FP7 MSCA ITN: ProVision - Perceptual Video Compression

Selected Research Outputs

  1. BVI-CC: A Dataset for Research on Video Compression and Quality Assessment [paper] [dataset]
    A. Katsenou, F.Zhang, M. Afonso, G. Dimitrov, and D. R. Bull, Frontiers Signal Processing, April, 2022.

  2. Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs [paper]
    A. Katsenou, J. Mao, and I. Mavromatis, Picture Coding Symposium, 2022.

  3. A CNN-based Post-Processor for Perceptually-Optimized Immersive Media Compression [paper]
    A. Katsenou, F. Zhang, and D. R. Bull, IEEE Conference in Image Processing, 2022.

  4. Direct Optimisation of λ for HDR Content Adaptive Transcoding in AV1 [paper]
    Vibhoothi, F. Pitiè, A. V. Katsenou, D. J. Ringis, Y. Su, N. Birkbeck, J. Lin, B. Adsumilli, A. Kokaram, SPIE2022: Applications of Digital Image Processing XLV, 2022.

  5. Efficient Bitrate Ladder Construction for Content-Optimised Adaptive Video Streaming [paper]
    A. Katsenou, J. Sole, and D. R. Bull, IEEE Open Journal of Signal Processing, vol. 2, 2021.

  6. BVI-SynTex: A Synthetic Video Texture Dataset for Video Compression and Video Quality Assessment [paper] [dataset]
    A. Katsenou, G. Dimitrov, D. Ma, and D. R. Bull, IEEE Transactions on Multimedia, 2021.

  7. VMAF-based Bitrate Ladder Estimation for Adaptive Streaming [paper]
    A. Katsenou, F. Zhang, K. Swanson, M. Afonso, J. Sole and D. R. Bull, Picture Coding Symposium, Bristol, UK, 2021.

  8. Enhancing VMAF through New Feature Integration and Model Combination [paper]
    F. Zhang, A. Katsenou, C. Bampis, L. Krasula, Z. Li, and D. R. Bull, Picture Coding Symposium, Bristol, UK, 2021.

For all papers and datasets see the links below: