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A Movie Classifier Based on Visual Features.
- Source :
- Computer Analysis of Images & Patterns (9783540742715); 2007, p937-944, 8p
- Publication Year :
- 2007
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540742715
- Database :
- Complementary Index
- Journal :
- Computer Analysis of Images & Patterns (9783540742715)
- Publication Type :
- Book
- Accession number :
- 33316575
- Full Text :
- https://doi.org/10.1007/978-3-540-74272-2_116