*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/studentshi ps/studentship2. cfm or contact Professor Stefan Rüger [s.rueger@open. ac.uk] or Dr. Dawei Song [d.song@open. ac.uk] quoting the reference code: 2713. Closing date: 10 June 2007.
*Equal Opportunity is University Policy.*
*Further Details*
[sursa beasiswa]
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