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research overview |
Peter was a full-time PhD student in information retrieval at the
Department of Computing, Imperial College London, in the Multimedia and
Information Systems Group, supervised by Prof Stefan Rueger.
Peter's thesis
http://people.kmi.open.ac.uk/stefan/www-pub/p.howarth-phd.pdf Discovering
images: features, similarities and subspaces, published in 2007,
investigates three of the core components of content-based image
retrieval: visual features, similarity functions and indexing methods. In
the content-based paradigm images are searched in a purely visual domain,
where they are represented by high-dimensional features. Exhaustively
searching this feature space can take a prohibitively long time. The
thesis argues that by the use of judicious approximations we can search
large collections interactively, while keeping a good level of retrieval
performance. Using normal hardware, Peter's system was able to search four
million images in just over one second, thus satisfying the goal of
effective real-time searching of large image collections.
Peter joined Redington Partners, London, after his PhD research. |
