Project Details
Description
Digital media companies are major contributors to the UK economy. They are highly-respected internationally and find their services in great demand. To meet this demand they need to employ people with the highest technical skills and the imagination to use those skills to a practical end. The sector has become so successful that the shortage of such people now constrains them from expanding further. Our Doctoral Training Centre is already addressing that and has become the national focus for this kind of training.
We do this by combining core taught material with an exciting and unusual range of activities designed to challenge and extend the students' knowledge beyond the usual boundaries. By working closely with companies we can offer practical challenges which really push the limits of what can be done with digital media and devices, and by the people using them.
We work with many companies and 40-50 students at any one time. As a result we are able to support the group in ways which would not be possible for individual students. We can place several students in one company, we can send teams to compete in programming competitions, and we can send groups to international training sessions.
This proposal is to extend and expand this successful Centre. Major enhancements will include use of internationally leading industry experts to teach Master Classes, closer cooperation between company and university researchers, business training led by businesses and options for international placements in an international industry. We will replace the entire first year teaching with a Digital Media programme specifically aimed at these students as a group.
The graduates from this Centre will be the technical leaders of the next generation revolution in this fast-moving, demanding and exciting industry.
| Status | Finished |
|---|---|
| Effective start/end date | 1/04/14 → 30/09/22 |
Collaborative partners
- University of Bath (lead)
- 4T2 Multimedia Ltd
- BBC News
- Creative England
- Disney Research
- Double Negative Ltd
- Electronic Arts
- Hibbert Ralph Animation Ltd
- Musion Systems Ltd
- NaturalMotion Ltd
- NetEase, Inc.
- Ninja Theory Ltd
- ROLI
- ScienceScope
- Smart Services CRC Pty Ltd
- Wonky Films
- X Media Lab
RCUK Research Areas
- Information and communication technologies
- Computer Graphics and Visualisation
- Human-Computer Interactions
- Image and Vision Computing
Fingerprint
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Dancing with the Avatars: Minimal Avatar Customisation Enhances Learning in a Psychomotor Task
Fitton, I., Clarke, C., Dalton, J., Proulx, M. & Lutteroth, C., 19 Apr 2023, CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. New York, U. S. A.: Association for Computing Machinery, 16 p. 714. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile17 Link opens in a new tab Citations (SciVal)482 Downloads (Pure) -
Unsupervised Scouting and Layout for Storyboarding in Movie Pre-production
Kerr, W., Haines, T. S. F. & Li, W., 27 Oct 2023, ACM International Conference on Interactive Media Experiences Workshops, IMXw 2023. New York, U. S. A.: Association for Computing Machinery, p. 86-93 8 p. (ACM International Conference Proceeding Series).Research output: Chapter or section in a book/report/conference proceeding › Book chapter
Open Access -
360MonoDepth: High-Resolution 360° Monocular Depth Estimation
Rey-Area, M., Yuan, M. & Richardt, C., 27 Sept 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 3752-3762 11 p. 9879016. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile87 Link opens in a new tab Citations (SciVal)639 Downloads (Pure)
Datasets
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Datasets and Analyses for "Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming"
Barathi, S. C. (Creator), Proulx, M. (Creator), O'Neill, E. (Creator) & Lutteroth, C. (Creator), University of Bath, 15 Jan 2020
DOI: 10.15125/BATH-00758
Dataset
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Dataset for "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality"
Dehesa, J. (Creator), Vidler, A. (Supervisor), Lutteroth, C. (Supervisor) & Padget, J. (Supervisor), University of Bath, 6 Jan 2020
DOI: 10.15125/BATH-00754
Dataset
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Dataset for "A Novel Neural Network Architecture with Applications to 3D Animation and Interaction in Virtual Reality"
De La Dehesa Cueto-Felgueroso, J. (Creator), Padget, J. (Supervisor), Lutteroth, C. (Supervisor) & Vidler, A. (Supervisor), University of Bath, 20 Nov 2020
DOI: 10.15125/BATH-00752
Dataset