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.
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.