Alexei was a 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.

His thesis http://people.kmi.open.ac.uk/stefan/www-pub/a.yavlinsky-phd.pdf Image

indexing and retrieval using automated annotation, published in 2007,

argues that models of simple image features, such as global colour and

texture, can be used to predict instances of different objects and scenes

within photographic images. On this basis Alexei proposed the use of

nonparametric density estimation to model these features and thus endow

unlabelled images with probabilities of containing particular objects and

scenes. This process, termed automated image annotation, enables one to

set up a scalable image indexing framework that allows users to retrieve

unlabelled images from large collections using simple keyword queries.

Keys: mmis