Movies when shown to people create a massive amount of signals in the brain. They are not random signals, instead their pattern is similar from person to person as well as from style, type and mood in the movie. There is a difference in directed or undirected movies.
In this PhD project we want to understand what visual movie content generates what brain signals corresponding to what emotions. We aim to correlate automatic computer vision concept detection in the movie stream to the noisy signals of brains across persons, movies and movie types.
The research bridges state-of-the-art vision technology of the Intelligent Systems Lab Amsterdam (ISLA, Science Faculty), with the state-of-the-art in brain imaging offered by the Cognitive Neuroscience Group Amsterdam (CNGA, Faculty of Social and Behavioral Sciences). Both groups are part of the University of Amsterdam and enjoy a world-class reputation, ISLA for computer vision and search engine technology (discovering concepts in images and video) and CNG for the neural basis of visual perception.
PhD student - Cognitive and computer vision of movies
