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2 p, 179.5 KB Interactive and audience-adaptive information interfaces / Ravnik, Robert
In the doctoral thesis we developed an interactive and user-adaptive information interface based on computer vision and machine learning methods. By using a camera-enhanced digital signage display we employed real-time computer vision algorithms to extract temporal, spatial, and demographic features of the observers, which are further used for observer specific broadcasting of digital signage contents. [...]
2014 - 10.5565/rev/elcvia.616
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 29-30  

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