In the experimental investigation, the comparison of obtained results with manual annotations made by cinema experts proves the validity of the framework. In this work we propose a methodology able to automatically detect this kind of shots by combining in a SVM learning scheme some state-of-the-art human presence detectors, with a set of saliency features based on colour and motion.
Among the set of identifiable stylistic features which play an important role in the film's emotional effects, the use of Over-the-shoulder (OtS) shots in movies is able to convey a big dramatic tension on the viewers. The ability to characterize a film, in terms of its narrative and style, is becoming a necessity especially for developing personal video recommendation systems to better deliver on-demand Internet streaming media.
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