History Scholarships Prospective candidates will be judged on how well they meet the following criteria:
A first-class honors degree Engineering, Physics, Mathematics or Computer Science;
-Experience in computer vision or machine learning is indicated by the publication in an international conference or international journals;
Oral and written English Good communication skills;
-Excellent record of academic achievement and / or professional
The following skills desirable but not essential:
-Ability to program in C / C + +;
Ability to program in Matlab-;
Experience real-time programming;
-Experience with Linux and Windows.
This History Scholarships is part of an EPSRC funded project on "Learning to Recognize Visual Dynamic Content from Broadcast Footage" which jointly conducted by the University of Oxford (Andrew Zisserman), University of Leeds (Mark Everingham) and University of Surrey (Richard Bowden). http://www.callforpapersinfo.com
http://thescholarshipprogramme.com
The History Scholarships aim of this project is to develop automated tools that allow temporal visual content, such as human pointing, using sign language, or interact with an object or another human being, which must be learned from standard TV broadcasts transmitted signal using the annotation in the form of subtitles and annotations for the blind as supervision. This requires the development of the visual appearance and dynamic model of action, and methods which can train such a model using the weak supervision provided by the subtitles.History Scholarships Once the model has learned they can then be used without supervision, such as sign language interpretation or for automatic content description of video recordings, and demonstrators during the project will be engineered to both these applications.
How to Apply: Online
Scholarship Application Deadline: June 8, 2011
Details Scholarship Information and Application
