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Details of Grant 

EPSRC Reference: EP/V038087/1
Title: BBC Prosperity Partnership: Future Personalised Object-Based Media Experiences Delivered at Scale Anywhere
Principal Investigator: Hilton, Professor A
Other Investigators:
Jackson, Professor P Pike, Dr C Mustafa, Dr A
Volino, Dr M Baume, Dr C Wang, Professor W
Thomas, Dr G Race, Professor N Elkhatib, Dr Y
Porter, Dr B Evans, Dr M Ramdhany, Dr RK
Chadwick, Ms S Guillemaut, Dr J
Researcher Co-Investigators:
Project Partners:
Audioscenic BBC BT
Dimension Studios Figment Productions Framestore
Imagination Technologies Ltd UK Imagineer Systems Ltd Intel Corporation Ltd
MirriAd Network Media Communications SalsaSound
Sony Synthesia Telefonica I+D (Spain)
The Foundry Visionmongers Ltd (UK) To Play For Ltd
Department: Vision Speech and Signal Proc CVSSP
Organisation: University of Surrey
Scheme: Standard Research
Starts: 01 October 2021 Ends: 30 September 2026 Value (£): 3,103,244
EPSRC Research Topic Classifications:
Artificial Intelligence Computer Graphics & Visual.
Digital Signal Processing
EPSRC Industrial Sector Classifications:
Creative Industries
Related Grants:
Panel History:
Panel DatePanel NameOutcome
26 Nov 2020 Prosperity Partnerships Round 4 Full Proposal December 2020 Announced
Summary on Grant Application Form
Personalisation of media experiences for the individual is vital for audience engagement of young and old, allowing more meaningful encounters tailored to their interest, making them part of the story, and increasing accessibility. The goal of the BBC Prosperity Partnership is to realise a transformation to future personalised content creation and delivery at scale for the public at home or on the move.

Evolution of mass-media audio-visual 'broadcast' content (news, sports, music, drama) has moved increasingly towards Internet delivery, which creates exciting potential for hyper-personalised media experiences delivered at scale to mass audiences. This radical new user-centred approach to media creation and delivery has the potential to disrupt the media landscape by directly engaging individuals at the centre of their experience, rather than predefining the content as with existing media formats (radio, TV, film). This will allow a new form of user-centred media experience which dynamically adapts to the individual, their location, the media content and producer storytelling intent, together with the platform/device and the network/compute resources available for rendering the content.The BBC Prosperity Partnership will position the BBC at the forefront of this 'Personalised Media' revolution enabling the creation and delivery of new services, and positioning the UK creative industry to lead future personalised media creation and intelligent network distribution to render personalised experiences for everyone anywhere.

Realisation of personalised experiences at scale presents three fundamental research challenges: capture of object-based representations of the content to enable dynamic adaption for personalisation at the point of rendering; production to create personalised experiences which enhance the perceived quality of experience for each user; and delivery at scale with intelligent utilisation of the available network, edge and device resources for mass audiences. The BBC Prosperity Partnership will address the major technical and creative challenges to delivering user-centred personalised audience experiences at scale. Advances in audio-visual AI for machine understanding of captured content will enable the automatic transformation of captured 2D video streams to an object-based media (OBM) representation. OBM will allow adaptation for efficient production, delivery and personalisation of the media experience whilst maintaining the perceived quality of the captured video content. To deliver personalised experiences to audiences of millions requires transformation of media processing and distribution architectures into a hybrid and distributed low-latency computation platform, allowing flexible deployment of compute-intensive tasks across the network. This will achieve efficiency in terms of cost and energy use, while providing optimal quality of experience for the audience within the technical constraints of the system.
Key Findings
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Potential use in non-academic contexts
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Date Materialised
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Organisation Website: http://www.surrey.ac.uk