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.

Keys: mmis