Abstract:
Movie style is one abstract representation of a movie and is
used in recommendation systems. In this paper, we argue that
movie style model is more than just emotional attribute represented by genre, but also includes visual, auditory and compositional attributes. We propose a movie model that takes
all these attributes into account and generate a comprehensive movie model by automatically analyzing the contents of
the movie. The proposed model does not require manual tagging and is independent of the length of the movie. Using
a case study of a set of Hollywood directors we show that
the attributes proposed by us are important to model a movie
style. We show that predictor using these features recognize
the correct director with an accuracy of 76.4%.
