Postgraduate Research Studentship: Content-based visual search

Full-time Postgraduate Research Studentship: Content-based visual search
engines Knowledge Media Institute

*Based in **Milton Keynes*

*Tenable from **1 October 2007*

*** *

The project will be focused on core data modelling methods and search
algorithms for more efficient and effective content-based visual engines.
This will involve developments of suitable indexing time feature
representation and query time selection schemes for visual data (images and
videos), effective similarity measures and efficient localized k-NN query
processing strategies to minimize search space yet maintaining acceptable
precision. This project will be carried out in the context of the new PHAROS
project, which is a main Integrated Project funded by the EU FP6 in a recent
call on audio-visual search technologies. The methods developed from this
PhD project will be plugged into the FAST search engine and will be
evaluated using not only standard datasets from evaluation conferences such
as TRECvid and ImageCLEF etc., but also the data from PHAROS content
providers.

You should have a strong background in Computer Science or Information
Systems, and must have qualifications of First or upper second class honours
degree or research master degree. Strong programming skills in C/C++ and
Matlab, existing research experience in computer vision,
human-computer-interaction or information retrieval, and international
conference/journal publications would be desirable. This studentship is open
for national and international applicants.

The studentship rate is £12,600 a year.



For further information, and to apply go to
http://kmi.open.ac.uk/studentships/studentship2.cfm or contact Professor
Stefan Rüger or Dr. Dawei Song

quoting the reference code: 2713. Closing date: 10 June 2007.

*Equal Opportunity is University Policy.*

*Further Details* <http://www.open.ac.uk/employment>