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Movie Classification Using Visual Effect Features

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3 Author(s)
Hui-Yu Huang ; National Formosa University, Department of Computer Science and Information Engineering, Yunlin, 632 Taiwan, e-mail: ; Weir-Sheng Shih ; Wen-Hsing Hsu

In this paper, we propose an approach to category the film kinds using low-level features and visual effect features. This approach aims to category the films into genres. Our current domain of study is the movie preview. A film preview often emphasizes the theme of a film and hence provides suitable information for classification process. In our approach, we classify 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 effects are combined in our approach to provide the advantage information to demonstrate the movie category. Our approach can also be extended for other potential applications, including browsing and retrieval of videos on the internet, video-on-demand, and video libraries. Experimental results show the visual effect feature play an important role for classifying the film kinds.

Published in:

2007 IEEE Workshop on Signal Processing Systems

Date of Conference:

17-19 Oct. 2007