Overview 

The demand for increased qualities and quantities of visual content is growing daily and this is creating both tensions and synergies between available network capacity and the required video bit rate. Innovation in communications technologies for media content distribution is thus critical to this project. Specifically, 5G and beyond (6G) will drastically transform media distribution and usage. For example, the average monthly traffic per 5G subscriber will grow from 11.7GB in 2019 to 84.4GB per month in 2028, at which point video will account for 90% of all 5G traffic.    

Network operators, content creators and service providers all need to transmit the highest quality video at the lowest bit rate. This can only be achieved through the optimisation of network architectures for visual content and through the exploitation of perceptual redundancy to enable video compression. And it is these areas in which MyWorld’s perceptually optimised delivery and interactivity research is focused. 

Angeliki portrait

Angeliki Katsenou

Senior Lecturer in Networked Media - University of Bristol

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Dimitra Simeonidou

Professor and Director of Smart Internet Lab - University of Bristol

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Chen Feng

PhD - University of Bristol

Aaron Zhang Portrait

Aaron Zhang

Lecturer in Visual Communications - University of Bristol

Ho Man Kwan portrait

Ho Man Kwan

PhD student - University of Bristol

Ildi portrait

Ildi Fogel

Project Coordinator, Smart Internet Lab - University of Bristol

Ge Gao portrait

Ge Gao

Postdoctoral Research Associate in Visual Communications - University of Bristol

David Bull Portrait

David Bull

MyWorld Programme Director. Professor of Signal Processing - University of Bristol

Jakub portrait

Jakub Nawala

PDRA - University of Bristol

Anderson portrait

Anderson Bravalheri

Senior Research Associate Smart Internet Lab - University of Bristol

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Xinyi Wang

PhD student Visual Information Laboratory - University of Bristol

Yuxuan Jiang portrait

Yuxuan Jiang

PhD student - University of Bristol

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Zhaozhou Wu

PhD - University of Bristol

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Zihao Qi

PhD student, Bristol Vision Institute - University of Bristol