Video Content Identification encompasses a broad area of research problems addressing a range of challenges including, fundamentally, auto-calibration, and, Scene Interpretation at the higher level of abstraction. The proposed PhD project will investigate the state-of-the-art in auto-calibration and seek to develop and validate robust algorithms to resolve the problems in dynamic foreground-background recognition for non-stationary cameras/scenes.
The PhD student will work within the ISR Laboratory at the School of Systems Engineering, University of Reading. The ISR Laboratory maintains an internationally established research leadership in Video Content Analysis and Privacy Protection. ISR leads both The European Centre of Excellence in Privacy-Preserving Video-Analytics as well as The European Observatory for Crowd-Sourcing.
The School of Systems Engineering at the University of Reading has a strong reputation for its innovative research across the broad disciplines of computer science and information systems, cybernetics, and electronic engineering. Our research is highly-regarded nationally and internationally, with demonstrated real-world impact. The University of Reading is ranked in the world’s top 200 universities according to the 2013/14 Times Higher Education World University Rankings.
Applicants should have a bachelors (at least 2.1 or equivalent) or masters degree in Computer Science or a strongly related discipline. Strong software engineering and Image and Signal Processing skills are preferable. Experience in Semantic Modelling and Case-Based Reasoning are desirable.
How to apply:
(1) Submit an application for a PhD in Computer Science using the link below.
(2) After submitting your application you will receive an email to confirm receipt; email should be forwarded along with a covering letter and full CV to Prof. Atta Badii, ([email protected]
(3) In the online application system, there is a section for “Research proposal” and a box that says “If you have already been in contact with a potential supervisor, please tell us who” – in this box, please enter “Prof. Atta Badii”.
Applications accepted all year round.
Prof. Atta Badii, tel: 00 44 118 3787842, email: [email protected]