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Cameras and smartphones are now equipped with advanced Computer Vision technologies that are becoming increasingly sophisticated and effective. 

There is great interest in smartphones recognizing their owner, mood and facial expression using their embedded cameras and other sensors in order to enable real thumbs-up for "liking" on Facebook, in games played only with body gestures, and in cars that automatically read road signs or do not require the presence of a driver.

This 1-year MSc programme is intended to respond to a growing skills shortage in research and industry for talents with a high level of training in the analysis and interpretation of images and video. The MSc covers both low-level image processing and high-level interpretation of videos using state-of-the-art machine





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Recipient: Queen Mary University of London

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