JOURNAL OF MULTIMEDIA (JMM)
ISSN : 1796-2048
Volume : 4    Issue : 4    Date : August 2009

Action Scene Detection with Support Vector Machines
Liang-Hua Chen, Chih-Wen Su, Chi-Feng Weng, and Hong-Yuan Mark Liao
Page(s): 248-253
Full Text:
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Abstract
To entice the target audience into paying to see the full movie, the production of movie trailers is an
integral part of movie industry. Action scene is the main component of a movie trailer. In this paper,
we propose an automatic action scene detection algorithm based on the analysis of high-level
video structure. The input video is first decomposed into a number of basic components called
shots. Then, shots are grouped into semantic-related scenes by taking into account the visual
characteristics and temporal dynamics of video. Based on the filmmaking characteristics of action
scene, some features of the scene are extracted to feed into the support vector machine for
classification. Compared with related works which integrate visual and audio information, our visual
based approach is computationally simple yet effective.

Index Terms
Video content analysis, support vector machine, scene classification