Regular Articles

Film classification based on low-level visual effect features

[+] Author Affiliations
Hui-Yu Huang

National Formosa University, Department of Computer Science and Information Engineering, 64, Wun-hua Road, Huwei, Yunlin, Taiwan 632

Weir-Sheng Shih

National Tsing Hua University, Department of Electrical Engineering, 101, Sec. 2, Kuang-fu Road, Hsinchu, Taiwan 300

Wen-Hsing Hsu

National Tsing Hua University, Department of Electrical Engineering, 101, Sec. 2, Kuang-fu Road, Hsinchu, Taiwan 300

J. Electron. Imaging. 17(2), 023011 (April 17, 2008). doi:10.1117/1.2907215
History: Received September 04, 2007; Revised November 09, 2007; Accepted November 10, 2007; Published April 17, 2008
Text Size: A A A

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.

Figures in this Article
© 2008 SPIE and IS&T

Topics

Internet ; Video

Citation

Hui-Yu Huang ; Weir-Sheng Shih and Wen-Hsing Hsu
"Film classification based on low-level visual effect features", J. Electron. Imaging. 17(2), 023011 (April 17, 2008). ; http://dx.doi.org/10.1117/1.2907215


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.