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We present a method to classify movies on the basis of audio-visual cues in the movie previews. A preview summarizes the main idea of a movie, therefore it provides suitable amount of information to perform the genre classification task. We perform the initial classification into action and non-action by computing the visual disturbance for every movie. Visual disturbance is defined as a measure of amount of motion in a clip. Next we use color, audio and cinematic principles for further classification into comedy, horror, drama/other and movies containing explosions and gunfire. Potential applications are browsing and retrieval of videos on the Internet (video-on-demand), video libraries, and rating of the movies. This work is a step towards automatically building and updating video database, thus resulting in less human intervention.

Associated publications:
Zeeshan Rasheed; Mubarak Shah, Movie Genre Classification By Exploiting Audio-Visual Features Of Previews, to appear in International Conference on Pattern Recognition, Québec City, Canada, August 11-15, 2002.


Presentation: click here