Projects per year
Personal profile
Research interests
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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Network
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Netflix Video Research partnership 2018-2019.
Katsenou, A., Bull, D. R., Zhang, F. & Fernandez Afonso, M.
Project: Research
Research output
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A CNN-based Post-Processor for Perceptually-Optimized Immersive Media Compression
Katsenou, A., Zhang, F. & Bull, D., 18 Oct 2022, 2022 IEEE International Conference on Image Processing (ICIP). IEEE Computer SocietyResearch output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile15 Downloads (Pure) -
On the Immersive Properties of High Dynamic Range Video
Hinde, 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-review
Open AccessFile1 Citation (Scopus)37 Downloads (Pure) -
Study of Compression Statistics and Prediction of Rate-Distortion Curves for Video Texture
Katsenou, 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-review
15 Downloads (Pure)
Datasets
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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
Dataset
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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
Dataset
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BVI-DVC
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
Dataset