3-year fully-funded PhD projects available (Oct. 2012-Sept.2015) at the
Knowledge Media Institute, The Open University, Milton Keynes, UK (30 min by fast train from London)
Stipend: £40,770 (£13,590/year)
Application deadline: 7th June 2012
1. Lifestyle Logs
The ambition of this project is to analyse lifestyle pictures that users take with their smartphones of meals they eat, drinks they have, sports they do, etc: The tasks are to classify these pictures automatically recognising the activity, measuring and logging automatically as much relevant data as is possible for these activities. The research for this project is firmly placed in the areas of image retrieval and machine learning...
Interested? Read more on http://kmi.open.ac.uk/studentships/lifestyle-logs.php
2. Linking nature to databases with your smartphone
You will research and develop analysis tools that are able to look up smartphone snaps of certain types of natural objects (eg, rocks or butterflies) in image databases. These tools are meant to support not only image search but also interactive image browsing activities by exploiting partial visual aspects such as colour and texture...
Interested? Read more on http://kmi.open.ac.uk/studentships/linking-nature-to-databases-with-your-smartphone.php
3. What makes a good picture?
This PhD project aims at uncovering the secrets of a good photograph. You are expected to develop computational algorithms that can set aside the very best photos of a set of similar photos - based on photographic design principles, trained with decisions taken by users, and for example based on learning from user comments on public photo sharing sites such as flickr and picassa. You will research and derive suitable high and low-level features from digital images that allow classification of photos as "good" and that allow categorisation of the emotive content of a digital image. You might use principles of simplicity (objects can easily be separated from the background), realism (eg, particular use of colour palette), basic techniques (right exposure, have areas with distinct focus, suitable colour, intensity and sharpness contrast) and composition principles. Armed with these features you will study, deploy, devise and modify machine learning algorithms that predict which photos make good representatives out of a bigger set of photographs...
Interested? Read more on http://kmi.open.ac.uk/studentships/lifestyle-logs.php
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