Ready-Set-Virtual (RSV) is a multi-user virtual film-set which allows different film production department specialists to collaborate and learn through a synchronous cooperative real-time environment. RSV enables a totally inclusive film-training and filmmaking endeavour, which involves filmmakers of every flavour – both in front of and behind the (virtual) camera, and enables anyone and everyone to work together synchronously and asynchronously wherever they are in the world.
Key People
Partners
Unreal Engine
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Empathic Avatars is part of on an-going initiative that uses the latest Machine Learning, Computer Vision and CGI rendering technologies to develop responsive digital human likenesses. Our aim is to create lifelike virtual actors that can convincingly react to external stimuli through believable facial expression, individuated to both the specific physical characteristics of the generated face and to the psychological and behavioural traits selectable or designable by the user/artist/director.
Key People
Partners
CARV3D
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Remotely Theatrical (Real-Time) is a virtual theatre stage set which allows different theatre production departments to collaborate and learn through a synchronous cooperative real-time environment. Using low-cost performance capture technologies, RT-RT enables stage actors working remotely and at a distance to ‘project’ their performances into a fully working responsive virtual environment. Scenographers, scenic artists, costumiers, lighting designers, sound specialists, character designers and other specialists all perform their functions via a set of bespoke digital interfaces so that the totality of the performance is integrated as part of the same synchronous virtual world, offering audiences a unique live, in-the-moment and as-it-happens experience of the show. This is ‘digital’ theatre as it has never been previously experienced, and something we feel is a particularly apposite solution to the challenges of our times.
Key People
Partners
Guildford School of Acting, Unreal Engine
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ASC explores the development of a smart archiving and research tool which can analyse and identify cinematic style and genre across a vast data space of cinema and television materials. This tool offers a set of novel searching solutions that transcend current categorisation and tagging techniques, and identifies new ways of analysing and comparing film and television drama material drawn from extensive historical and geographical domains.
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Partners
British Film Institute
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Working in collaboration with the BFI, REACT takes a Deep Learning approach to developing a theoretical and practical understanding of cinema language across its many forms, genres, variances and evolutions over the past century. REACT uses computer vision and machine learning techniques to compare, contrast and ‘learn’ patterns of filmic expression drawn from over a century of moving image creation from around the world; and from there assist in the creation of a diversity of novel cinematic techniques built on the extensive collective viewing experience that only a computational approach can enable.
Key People
Partners
British Film Institute
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EVNE offers the opportunity to experiment with how different characters respond to different situations through emotional expression and outward behaviour. It will comprise of a set of adjustable scenarios which the student can parametrically ‘direct’ to see how the characters respond. These sequences are interactive: ‘adjustments’ can be made at critical points to affect evolving outcomes; more radically, students can zoom into the ‘body-mind’ spaces of each character to explore different theories of what may be occurring both physiologically and neurologically.
Key People
Partners
Edify
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