Deep Learning for Video Compression
This project will firstly examine and analyse deep learning techniques particularly in the context of their applicability to ultra high resolution (4K/8K) image/video compression. The project will look into the coding efficiency and bit-rate optimisation of deep learning techniques compared with standard compression methods e.g. HEVC. Students with prior project experience in image/video compression would be particularly suitable, but those opting to do research area with no previous exposure to any project work in the field will also be considered. Some prior knowledge of basic signal/image processing fundamental principles would certainly be an asset. The project will very much adopt an innovative approach aiming to push the boundaries of the state of the art in the field and will therefore have a drive for publications as well as attraction of industrial interest.
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
Good luck!
This is a self funded topic
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.