Qualification Type: | PhD |
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Location: | Bristol |
Funding for: | UK Students, EU Students |
Funding amount: | From £17,668 per annum in 2022/23 |
Hours: | Full Time |
Placed On: | 7th March 2022 |
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Closes: | 31st July 2023 |
The project:
Among all video content, one of the areas that has grown significantly over recent years is based on the use of augmented and virtual reality (AR and VR) technologies. A key new format that underpins the development of these new technologies is referred to volumetric video, with commonly used formats including point clouds, multi-view + depth and equirectangular representations. In this context, this four-year PhD project will focus on two essential stages within the volumetric video production workflow: compression and post-processing. Inspired by recent advances in deep video compression and rendering, we will research novel AI-based production workflows for volumetric video content to significantly improve the coding efficiency and the perceptual quality of the final rendered content.
This project is funded by the EPSRC iCASE (sponsored by BT) and aligns with the MyWorld UKRI Strength in Places Programme at the University of Bristol, in which BT is contributing as a key collaboration partner. This project is highly relevant to the immersive video production R&D activities within BT and fit well within one of the core research areas outlined in the MyWorld programme on video production and communications for immersive content. The student working on this project will have the opportunity to work with the experts in BT, gaining experience on immersive video production workflows, from capture and contribution to live editorial production and delivery at scale to a growing variety of XR capable devices.
URL for further information: http://www.myworld-creates.com/
https://www.bristol.ac.uk/news/2020/june/myworld-ukri-funding-announcement.html
How to apply:
Visit https://www.bristol.ac.uk/study/postgraduate/2022/eng/phd-elec-electronic-eng/ for candidate requirements.
Basic skills and knowledge required include an understanding in one or more of the following: Video Compression; 3D Computer vision; Artificial intelligence/Machine learning/Deep learning
For general information please contact sceem-pgr-admissions@bristol.ac.uk
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