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A Film Classifier Based on Low-level Visual Features
By: Hui-Yu Huang; Wen-Hsing Hsu; Weir-Sheng Shih;
2007 / IEEE / 978-1-4244-1273-0
This item was taken from the IEEE Conference ' A Film Classifier Based on Low-level Visual Features ' In this paper, we propose an approach to categorize the film classes 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 using 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 the browsing and retrieval of videos on the internet, video-on-demand, and video libraries.
Low-level Visual Features
Computable Video Features
Content Based Retrieval
Gunshot Detection Systems
Video On Demand
Video Signal Processing
Average Shot Length