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David Bull holds the Chair in Signal Processing at the University of Bristol and is Director of the £46m MyWorld Strength in Places Programme. He is currently the Director of Bristol Vision Institute, a cross-disciplinary organisation, hosting some 160 researchers, dedicated to all aspects of vision science and engineering. He is also Director of the EPSRC Centre for Doctoral Training in Communications and University Lead for Creative Technologies.
David works in the fields of visual communications and computer vision. He has won numerous awards for this work and has published over 500 papers and patents, several of which have been licensed and exploited commercially. His current activities are focused on the problems of i) optimised video compression for internet streaming, broadcast and surveillance applications and ii) optimised workflows for media production including denoising and enhancement of low-light video. He is widely supported in these areas by international industry, governments and charities and has generated over £40m of research income in the past 10 years. He has delivered numerous invited/keynote lectures and tutorials and his new book, 'Intelligent Image and Video Compression is now in print.
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Creative Industry Cluster Audience post
1/09/20 → 31/08/23
EPSRC CDT Comms EP/I028153/1
1/04/11 → …
Netflix Video Research partnership 2018-2019.
Katsenou, A., Bull, D. R., Zhang, F. & Fernandez Afonso, M.
A CNN-based Post-Processor for Perceptually-Optimized Immersive Media CompressionKatsenou, A., Zhang, F. & Bull, D., 18 Oct 2022, 2022 IEEE International Conference on Image Processing (ICIP). IEEE Computer Society
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)Open AccessFile15 Downloads (Pure)
On the Immersive Properties of High Dynamic Range VideoHinde, S. J., Noland, K. C., Thomas, G. A., Bull, D. R. & Gilchrist, I. D., 28 Mar 2022, In: ACM Transactions on Applied Perception. 19, 2, 3524692.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile1 Citation (Scopus)37 Downloads (Pure)
Study of Compression Statistics and Prediction of Rate-Distortion Curves for Video TextureKatsenou, A. V., Afonso, M. & Bull, D. R., 1 Feb 2022, In: Signal Processing: Image Communication. 101, 17 p., 116551.
Research output: Contribution to journal › Article (Academic Journal) › peer-review15 Downloads (Pure)
VIL: Synthetic Video Texture Dataset - SynTex
Ma, D. (Creator), Katsenou, A. (Creator) & Bull, D. R. (Creator), University of Bristol, 26 Oct 2018
DOI: 10.5523/bris.24imj6d9s27me2n211cf6jxkio, http://data.bris.ac.uk/data/dataset/24imj6d9s27me2n211cf6jxkio
BVI - Video Codec Evaluation
Zhang, F. (Creator), Katsenou, A. (Creator), Afonso, M. (Creator) & Bull, D. R. (Creator), University of Bristol, 19 Oct 2019
DOI: 10.5523/bris.1fyr4uv4aqo352lct09g7r9ejp, http://data.bris.ac.uk/data/dataset/1fyr4uv4aqo352lct09g7r9ejp
Zhang, F. (Creator), Ma, D. (Creator) & Bull, D. R. (Creator), University of Bristol, 31 Mar 2020
DOI: 10.5523/bris.3hj4t64fkbrgn2ghwp9en4vhtn, http://data.bris.ac.uk/data/dataset/3hj4t64fkbrgn2ghwp9en4vhtn