A movie classifier based on visual features

Authors:
Hui-Yu Huang;Weir-Sheng Shih;Wen-Hsing Hsu
Affiliations:
Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, Taiwan;Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan;Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

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Abstract

In this paper, we propose an approach to classify the film categories by using low-level features and visual features. The goal of this approach is to classify 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, retrieval of videos on the internet, video-on-demand, and video libraries.