Log in
Our research on Active Shape Models (ASMs) and Active Appearance Models (AAMs) opened up a radically new approach to automated image interpretation, with applications in industrial inspection, medical image analysis, and face tracking/recognition. We identify:
Series of images from animal behaviour studies contain vast quantities of complex and highly valuable data. Extracting the value from this scientific data often requires expert annotation. This is frequently an intuitive process based on experience gained through years of training to make important decisions. Experts are rare, expensive and hard to train so the iBehave project at the University of Edinburgh (2006-2009) sought to reverse this model and deliver systems that learned to mimic expert annotation of video data. This effort resulted in a new spinout from the School of Informatics, a software company called Actual Analytics Ltd (Actual). Founded in 2010, Actual delivers innovative software solutions for behaviour analytics which use machine learning algorithms to process video data of laboratory animals to improve the accuracy of the experimental process and reduce the need to use animals in scientific research.
This case is based on economic impact. It shows how research by Professor Michael Wooldridge at the University of Liverpool on the Gaia Methodology for agent-oriented software engineering improved the performance of the Swiss company Whitestein Technologies AG and of international users of its key product. Specifically, the research enabled Whitestein to develop its business process management system (BPM) Living Systems Process Suite which delivers several million pounds per year of revenues, corresponding to 50% of their total business revenues. Users of Whitestein's Living Systems Process Suite since 2008 include Daimler AG, Transcor Astra Group, Vienna Insurance Group, and the US Department of Veterans Affairs. In 2010 Gartner, the world's leading IT advisory company, recognized the impact and innovation of the Living Systems Process Suite by naming Whitestein a Cool Vendor in BPM.
The primary impact is AmbieSense Ltd., a start-up that has had up to 8 employees/consultants. The Company pioneered ambient, context-aware mobile applications and has been able to maintain its technological edge throughout. Secondary impact is through products developed and used by companies including Lonely Planet, Oslo Airport. AmbieSense Ltd. products and services have wide reach and social impact: Tourist trails; outdoor museums; educational historic trails. Customers include public sector: Aberdeen City Council. Benefits are a quality content experience delivered in a context-sensitive manner (social/economic). The significance is: information-rich touristic physical space; an enriching educational experience, connecting pupils with environments. Other technologies have also been built on the AmbieSense platform and patents have cited the underpinning work, demonstrating impact on professional services.
Agent-based computing is a new paradigm for building complex socio-technical systems composed of many interacting intelligent and autonomous components. New co-ordination and negotiation algorithms developed at the University of Southampton, have provided new methods for managing such interactions in a flexible manner. This study focuses on their applications in two new start-up companies (Aerogility and Aroxo) in the defence, aerospace and civil contingency sectors (e.g. BAE Systems, Ministry of Defence and Hampshire County Council) in helping the GB Sailing Team to success at the 2012 Olympics, and in monitoring the environment for effects of climate change.
Research in robust speech enhancement and audio-visual processing has led to impact on a range of different fronts:
(i) Collaboration with CSR, a leading $1 billion consumer electronics company, has shaped its R&D research agenda in speech enhancement, has inspired ideas for new product improvements, and has helped establish Belfast as an audio research centre of excellence within the company.
(ii) Our technology has changed the strategic R&D direction of a company delivering healthcare monitoring systems, with potential for multi-million pound savings in NHS budgets.
(iii) Audio-visual speech processing research has led to a proof-of-concept biometric system, Liopa: a novel, robust and convenient person authentication and verification technology exploiting lip and facial movements (www.liopa.co.uk). A start-up company is in an advanced stage of being established to commercialise this product. The product and commercialisation strategy was awarded First Prize in the 2013 NISP Connect £25K entrepreneurship competition in the Digital Media and Software category. The first commercial partner for Liopa has been engaged.
(iv) A system-on-chip implementation of a version of our speech recognition engine, which was developed through an EPSRC project, was awarded first prize in the High Technology Award in the 2010 NISP £25K Awards competition, and contributed to the founding of a spin-out company, Analytics Engines (www.analyticsengines.com).
One of the world-leading systems for large-vocabulary Automatic Speech Recognition (ASR) has been developed by a team led from the University of Sheffield. This system, which won the international evaluation campaigns for rich speech transcription organised by the US National Institute for Standards and Technology (NIST) in 2007 and 2009, has led directly to the creation of one spin-out, been largely instrumental in the launch of a second, has had significant impact on the development and growth of three existing companies, and has made highly advanced technology available free for the first time to a broad range of individual and organisational users, with applications including language learning, speech-to-speech translation and access to education for those with reading and writing difficulties.
Research at Sussex has enabled the development of interactive virtual museums, which include the Church of Santa Chiara in the Victoria and Albert Museum`s Medieval and Renaissance Galleries, and Sierra Leone digital collections both online and also recently exhibited at the British Museum. These developments apply Internet, XML, 3D visualisation and database technologies in novel ways. Impacts of the research are social and cultural, through support for social cohesion and the public`s greater awareness and understanding of their cultural heritage; impacts are also in the area of public services, by enabling 2017memory institutions` to improve their service delivery by increasing the global reach of their exhibits and the depth of their engagement with visitors.
This Keele University research in multiscale object recognition has led to two key breakthroughs: (a) the automated identification of tissue boundaries in computer tomographic (CT) scans, enabling the latest radiotherapy equipment to more accurately target diseased tissue thus avoiding neighbouring healthy organs. Such improvements are essential to the successful roll-out of new more precise linear accelerators in the treatment of cancer; (b) new fractal algorithms to characterise the quality of transplanted cell growth from post-operative biopsies. By automating the selection of the healthiest cells this has assisted the generation of patient-specific cartilage and is essential for the development of a medical capability for large-scale patient-specific generation of cartilage growth for the treatment of arthritis. It has indirectly led to software improvements in cell-tracking and to achieving reliable auto-focussing in high throughput non-invasive microscopy.
A spin-out company, Contemplate Ltd, is using advanced static analysis technology in global top-ten investment banks and other clients to discover previously undetected defects in enterprise-scale business-critical multi-threaded Java codebases. The impact is in terms of the benefits delivered to Contemplate's clients by this technology and in terms of the formation and growth of Contemplate as an employer and a successful business.