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Multimedia and Vision Research group, Queen Mary University of London

The Multimedia and Vision Research group at Queen Mary University of London is performing research in the area of Computer Vision and Multimedia Processing using Machine Learning and Pattern Recognition methodologies



Queen Mary University of London (QMUL) is ranked in the top 1% of universities (Times Higher Education World University) and is a member of the Russell Group of leading UK Universities. It is ranked 9th in the UK among multi-faculty universities in the latest Research Excellence Framework (REF 2014) and generates circa £100m research income per year. It has over 20,260 UK, European and international students studying in three faculties (Humanities and Social Sciences; Science and Engineering; Medicine and Dentistry).The School of Electronic Engineering and Computer Science (EECS) was ranked 9th  (Electronic Engineering) and 11th (Computer Science in the UK Research Excellence Framework 2014. QMUL is investing 10% of total research income in new research equipment; over £250 million has been invested in 15 years.

The Multimedia and Vision research group has secured over 35 large and medium sized research grants with a total value exceeding £16 Million. A main source of funding has been the EU, specifically within the FP6, FP7 and H2020 frameworks in which the group attracted a large number of cooperative research project with key players from the Industry including Thales, BT, The BBC, Huawei, United Technologies, Philips, Telefonica, STMicroelectronics; Alcatel-Lucent Bell and Disney Research, as well as, key European research groups as Fraunhofer/Germany and INRIA/France.



Mile End road
School of EECS
United Kingdom

Involved in following Projects


A Centre of Excellence delivering next generation AI Research and Training at the service of Media, Society and Democracy.



HACID develops a novel hybrid collective intelligence for decision support to professionals facing complex open-ended problems, promoting engagement, fairness and trust. A decision support system (HACID-DSS) is proposed that is based on structured domain ...