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video PhD Projects, Programmes & Scholarships
We have 92 video PhD Projects, Programmes & Scholarships
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Video Transformers
The aims of this project are to develop new methods for processing videos, leading to applications such as video classification, human activity recognition or video generation [1]. Read more
MyWorld/BT iCASE: Volumetric Video Compression
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. Read more
MyWorld: End-to-End Learned Video Compression
In recent years, video compression has played an essential role in the application and uptake of video technologies across film, television, terrestrial and satellite transmission, surveillance and particularly Internet video. Read more
Machine learning for video quality evaluation
With the recent increased usage of video services, the focus has recently shifted from traditional Quality of Service (QoS) based video delivery to Quality of Experience (QoE) based video delivery. Read more
MyWorld/Netflix: Deep Video Coding for AOM/AV2
Video technology is now pervasive, with mobile video, UHDTV, video conferencing, and surveillance all underpinned by efficient signal representations. Read more
Explainable Deep Learning Method for Video Forgery Detection [Self-Funded Students Only]
Research Group:
Visual Computing
With recent technological advancement, a huge number of videos are created every day, and they are playing more and more important role in many application areas, such as communication, entertainment, social media, education, medicine, and surveillance. Read more
Automatic Object and Behaviour Recognition in Video/ Image Sequences
Smart CCTV systems have been subject on an increased interest during the last decades. There are many reasons for this interest, such as the need of processing quickly, in an automatic way huge amounts of video data. Read more
Interpretation of animal behaviors using novel video processing techniques in Artificial Intelligence
This PhD project will introduce new video processing and analysis tools based on state-of-the-art innovations in Artificial Intelligence (AI). Read more
Two-stream Machine Learning Architecture based on Deep Learning and HMM for Video-based Ambient Assisted Living
Ambient assisted living aims at improving the quality of life and supporting independent and healthy living of older or/and impaired people within their own home environment. Read more
Seeing photosynthesis at the nanoscale: mapping the properties of light-harvesting membranes by video-speed atomic force and fluorescence microscopy
Research Group:
School of Physics and Astronomy
Understanding photosynthesis could provide valuable clues for future solar technology and help our understanding of food crops. Read more
Computer Vision with Deep Learning for Human Data Modelling
This project focuses on the research of deep learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more
PhD Computing
Main research areas of interest, Image / Video Processing and Analysis Techniques and Applications, Wireless Mobile Network Technologies, Bio-metric-based Authentications for constrained devices / environments. Read more
Facial emotion analysis to assess the engagement level and reduce video conferencing fatigue
Research Group:
Visual Computing
Faces are a source of rich information about individual identity, and also about mood and mental state, being accessible windows into the mechanisms governing our emotions. Read more
MyWorld: Peripheral Vision and Coding
This project aims to exploit a knowledge of peripheral vision to enhance and measure viewer experience. Immersive media applications, such as VR, are heavily reliant on a wide field of view, high spatial and temporal resolutions, and high dynamic range, all of which require high bit rates. Read more
Graphs of Deep Networks
This project aims to develop a new approach for joint syntactical and statistical data representation modelling. Read more