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UOA15-10: Boujou: special effects software for the film industry

Summary of the impact

The Boujou special effects software was developed from research carried out at the Department of Engineering Science. It enables sophisticated computer generated imagery (CGI) to be quickly and easily added to `real' film footage, facilitating the visual effects that feature so importantly in films such as Harry Potter and X-Men. The software has become an essential tool used by film-makers, TV advert producers, and video game manufacturers, and for instance played a pivotal role in helping `The Curious Case of Benjamin Button' win the 2009 Oscar for Best Visual Effects. Between 2008 and 2013, sales of Boujou totalled £1.37 million and this software boosted productivity and profitability right across the global digital entertainment industry.

Submitting Institution

University of Oxford

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing

Stereoscopic Imaging

Summary of the impact

This case study involves the development and implementation of novel algorithms that control the mapping of depth from a scene being imaged by a camera to an image being viewed on a stereoscopic display so as to make viewing more comfortable for the human visual system. The algorithms, developed at Durham University between 2003 and 2005:

  • are influential in the implementation of software tools supplied to the games industry;
  • have reportedly been widely adopted in the 3D movie industry; and
  • are used to produce award-winning 3D science movies that have been shown around the world and which have measurable and quantifiable public impact (nationally and internationally) in terms of both significance and reach.

Submitting Institution

University of Durham

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Psychology and Cognitive Sciences: Psychology

Fairy Magic: Enabling cinematic experiences on mobile devices in real-time.

Summary of the impact

Augmented reality supplements real-world experience by placing graphics over a live camera feed in real-time. Smartphones are a popular and suitable device (ubiquity, portability, and sensor features). However embedded industry practices delivered an inferior experience limiting adoption. Maguire's research-informed innovative integration and implementation of visual effects enabled a high-end cinematic experience. This included integration of user's environment, interaction with characters, motion blur, 3D realistic character, facial animation, exponentially increased capacity for customized narrative and new audiences. The outcomes also expanded the aesthetic and genre of the narrative, sharing user experience and thus reaching significant new user demographics.

Submitting Institution

University of Ulster

Unit of Assessment

Art and Design: History, Practice and Theory

Summary Impact Type

Societal

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Studies In Creative Arts and Writing: Film, Television and Digital Media

Zappar

Summary of the impact

Research at the University of Cambridge Department of Engineering on computer vision tracking led to the creation of Extra Reality Limited in 2010, which was subsequently acquired by a new company called Zappar Limited in May 2011. Zappar employs 17 staff and had revenue of GBP612k in the financial year 2012/13, an increase of 35% on the previous year.

Over 50 different brands have used Zappar's augmented reality application across more than 300 offerings in over 17 countries to deliver entertainment-based marketing interactions from 2011 to 2013. [text removed for publication] Examples of partners include Disney, Warner Brothers and Marvel. Zappar has changed attitudes in the media sector by showing that "augmented reality is finally ready for prime time" (President, Creative Strategies Inc, Time Online, 2012).

Submitting Institution

University of Cambridge

Unit of Assessment

General Engineering

Summary Impact Type

Economic

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics

Enhanced photo and special effects processing for professional and amateur photographers

Summary of the impact

Professor Kautz and his team have developed two photo manipulation and processing methods (Exposure Fusion and local Laplacian filtering) that are used to produce well-exposed photographs with tuneable local contrast. Both are robust and consistent without requiring any per-image parameter tuning. Due to its reliability and effectiveness, Exposure Fusion is now considered the standard method for blending multiple photographs into a single well-exposed photograph, and is used by a large number of commercial and non-commercial products. Local Laplacian filtering was chosen by Adobe Systems Incorporated to be the default tool for image enhancements in Adobe Lightroom and Adobe Camera Raw. As a result, these methods are now in the hands of hundreds of thousands users, who use them to create and manipulate well-exposed digital photographs.

Submitting Institution

University College London

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing

Faster CCTV video content analysis

Summary of the impact

The explosive growth in the number of CCTV cameras has meant that analysing the volume of data produced has become almost unmanageable. Dublin based start-up Kinesense Ltd was incorporated in 2009 by Dr Mark Sugrue, who had carried out his PhD in Video Analytics at Royal Holloway. New methods to detect motion, track objects and classify behaviour in CCTV now enable the efficient scanning of video for important events. Kinesense Ltd has developed a range of forensic video analysis tools, which reduce the time required to search and analyse video footage by up to 95%. It has attracted investment funding of over €820,000, employs 7 full time staff and has made sales to police forces and security agencies in over 17 countries. Kinesense products benefit law enforcement professionals and organisations by providing more efficient surveillance and detection of criminal activity, allowing better use of investigator time, reducing the length of criminal investigations and increasing their success rate. The general public worldwide benefits from increased crime detection and the consequent prevention and reduction of criminal activity.

Submitting Institution

Royal Holloway, University of London

Unit of Assessment

Physics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Medical and Health Sciences: Public Health and Health Services

Computer Vision for Stereo 3D Film Production

Summary of the impact

The introduction of computer vision algorithms that allow creation of stereo 3D content in film and broadcast using conventional 2D monocular video cameras has permitted fundamental advances in the 3D reconstruction of complex real-world dynamic scenes from video, enabling the rendering of stereo views from a single camera view. Technology introduced by Surrey has been used for 3D scene analysis by the UK company, The Foundry, in their film post-production for major Hollywood 3D film productions (Avatar, Harry Potter, Planet of the Apes, Tron, The Hobbit). Since 2007, The Foundry has transformed to become the leading provider of 3D stereo production software tools to the global visual effects industry, growing from 20 to over 200 employees.

Submitting Institution

University of Surrey

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics

ICARUS – Interactive Construction of 3D Models from Digital Images

Summary of the impact

In the late 1990s, a significant barrier to the adoption of virtual reality software was the expense of manually creating models of real-world scenes. To address this, between 1998 and 2004, the ICARUS software system was developed, which enabled the creation of structured, 3D geometric models from a sequence of images or video. The system also pioneered improved methods of camera tracking. ICARUS was subsequently licensed and developed commercially, and became the foundation for video and film post-production products that are used worldwide in the film (e.g. Universal Pictures, Warner Bros, Paramount Pictures) and television (e.g. BBC) industries, underpinning a company with an annual turnover in excess of £1m.

Submitting Institution

University of Manchester

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing

Improving prostate cancer diagnosis and care using computer simulation and medical image registration

Summary of the impact

UCL's research has led to changes in patient care for men with prostate cancer, through the implementation of less invasive, image-directed treatment and diagnostic strategies, and clinical trials that use these techniques. The use of medical image registration software to deliver high- intensity ultrasound therapy in a targeted manner has been shown to change the treatment plan in half of the patients participating in a clinical study. New biopsy criteria are now used routinely to classify patient risk at University College Hospital, where, since 2009, clinicians have determined the treatment options for more than 741 prostate cancer patients. The scheme has been adopted, by 15 other hospitals in the UK and internationally, where it has become the recommended standard of care, and has been used to treat more than 1,200 patients.

Submitting Institution

University College London

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Health

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Biomedical Engineering
Medical and Health Sciences: Neurosciences

Adaptive Video Analytics Software

Summary of the impact

Video surveillance or monitoring is an important ingredient of modern life. Research conducted by the 2017Centre for Information, Intelligence and Security Systems` (CIISS), into improving the reliability of automated detection of visual entities in videos, has made an impact on public services and on practitioners (increased speed and quality, lower labour cost — Beneficiaries: U.K. Police; police investigators) and their health (mitigation of potential physical or psychological harm — Beneficiaries: police investigators), on society (reduction of a factor associated with crime rates and legal costs — Beneficiaries: the public; tax-payers), and on business (creation of a spin-out company - Adaptive Video Analytics Technologies Ltd — Beneficiaries: UK; and influence on management decisions about technology choices — Beneficiaries: Serco Group plc (HMP Dovegate)).

Submitting Institution

Staffordshire University

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics

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