1 April 2008 Film classification based on low-level visual effect features
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Abstract
We present a framework to classify the film categories based on low-level features and visual effect features. This approach can serve as a prefilter that represents the movies that you want to watch from the Internet or movie-on-demand service. Our current domain of study is the movie preview. In our approach, we categorize films into three broad kinds: action, drama, and thriller films. Four low-level video features (average shot length, color variance, lighting key, and motion content) and visual effects are combined in our system to provide helpful information to demonstrate the film category. The results indicate that visual effect features are effective and useful information and play an important role for classifying the film categories.
Hui-Yu Huang, Weir-Sheng Shih, Wen Hsing Hsu, "Film classification based on low-level visual effect features," Journal of Electronic Imaging 17(2), 023011 (1 April 2008). https://doi.org/10.1117/1.2907215
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