Visual Media Research Platform Grant

Lead Research Organisation: University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP


The Visual Media Platform Grant awarded in 2003 has successfully underpinned the expansion of Visual Media Research within CVSSP by supporting key experienced post-doctoral research personnel on a stable long-term basis. Strategically the platform grant has allowed the flexibility to pursue adventurous research providing the foundation to initiate a number of new research projects and collaborations with both industry and international research groups. Stable support of a critical-mass of experience has led to the groups research grant portfolio doubling over the period 2003-07. In addition the platform grant has directly contributed to pioneering two new technologies leading to commercial exploitation: 3D video capture of facial dynamics; and whole-body surface motion capture. The platform grant has allowed the initiation of a number of international collaborations with leading research teams in the US, Europe and Japan. EPSRC platform grant support for Visual Media Research has been pivotal to meeting the strategic objective of increasing the international profile and impact of the research group and individual researchers by enabling adventurous research contributing step changes to the state-of-the-art.The strategic objective of the platform grant renewal is for the Visual Media Research within CVSSP to lead fundamental research internationally to pioneer new technologies which impact directly on industry practice. This will build on the proven success of the platform grant awarded in 2003 as a mechanism for supporting long-term research continuity of key post-doctoral researchers, pursuing adventurous research to initiate new research directions and contributing advances to the leading edge internationally . Renewal of the platform grant is requested to continue to reinforce the critical mass of expertise and knowledge of specialist facilities required to contribute advances in both fundamental understanding and pioneering new technology. Strategically the platform grant renewal aims to build on recent advances in dynamic scene analysis towards understanding and modelling real-world scenes. Increasing relevance and collaboration with the UK entertainment and communications industries, and focusing on international collaborations initiated under the existing platform grant with leading groups in the US (Washington), Japan (Kyoto) and Europe(INRIA,MPI,EPFL,KTH,CTU).


10 25 50
Description Advances in computer vision from controlled static laboratory conditions to highly dynamic scene enabling visual reconstruction and scene understanding for applications ranging from healthcare to entertainment content production.
Exploitation Route research has been widely disseminated to the public and policy makers as well as the academic community and industry
Sectors Creative Economy,Digital/Communication/Information Technologies (including Software),Electronics,Healthcare,Culture, Heritage, Museums and Collections,Security and Diplomacy

Description Advanced computer vision and machine learning methods with application for entertainment content production, biometrics, security, healthcare, human-computer interaction and visual communication.
First Year Of Impact 2008
Sector Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Healthcare,Culture, Heritage, Museums and Collections
Impact Types Cultural,Societal,Economic

Title Multiview and 4D Video 
Description Multiple view video datasets and reconstructed 4D models 
Type Of Material Database/Collection of data 
Provided To Others? Yes  
Impact Data available is used by over 300 research groups worldwide. It is considered the benchmark dataset for research in this field. 
Description Anthropics Technology Ltd 
Organisation Anthropics Technology
Country United Kingdom 
Sector Private 
Start Year 2005
Description Avatarme Ltd 
Organisation Avatarme
Country United Kingdom 
Sector Private 
Start Year 2004
Description BBC Research and Development 
Organisation British Broadcasting Corporation (BBC)
Country United Kingdom 
Sector Public 
PI Contribution Research in Computer Vision for broadcast production and Audio. Technologies for 3D production, free-view point video in sports, stereo production from monocular cameras, video annotation Member of the BBC Audio Research Partnership - developing the next generation of broadcast technology.
Collaborator Contribution In kind contribution (members of Steering/Advisory Boards) Use of the BBC lab and research/development facilities. Studentships (industrial case) funding and co-supervision of PhD students.
Impact Multi-disciplinary collaboration involves Computer Vision, Video Analysis, Psychoacoustics, Signal Processing and Spatial Audio
Description Snell & Wilcox Ltd 
Organisation Snell & Wilcox Ltd
Country United Kingdom 
Sector Private 
Start Year 2006
Description Sony Broadcast and Professional Europe 
Organisation SONY
Department Sony Broadcast and Professional Europe
Country United Kingdom 
Sector Private 
Start Year 2004