JOURNAL OF MULTIMEDIA (JMM)
ISSN : 1796-2048
Volume : 3    Issue : 3    Date : July 2008

A Film Classifier Based on Low-level Visual Features
Hui-Yu Huang, Weir-Sheng Shih, and Wen-Hsing Hsu
Page(s): 26-33
Full Text:
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Abstract
We propose an approach to classify the film classes by using low level features and visual features.
This approach aims to classify the films into genres. Our current domain of study is using the movie
preview. A movie preview often emphasizes the theme of a film and hence provides suitable
information for classifying process. In our approach, we categorize films into three broad categories:
action, dramas, and thriller films. Four computable video features (average shot length, color
variance, motion content and lighting key) and visual features (show and fast moving effects) are
combined in our approach to provide the advantage information to demonstrate the movie category.
The experimental results present that visual features are the useful messages for processing the
film classification. On the other hand, our approach can also be extended for other potential
applications, including the browsing and retrieval of videos on the internet, video-on-demand, and
video libraries.

Index Terms
Film classifier, movie genre, shot boundary detection, visual feature