• DocumentCode
    2189553
  • Title

    Movie Classification Using Visual Effect Features

  • Author

    Huang, Hui-Yu ; Shih, Weir-Sheng ; Hsu, Wen-Hsing

  • Author_Institution
    National Formosa University, Department of Computer Science and Information Engineering, Yunlin, 632 Taiwan, e-mail: hyhuang@nfu.edu.tw
  • fYear
    2007
  • fDate
    17-19 Oct. 2007
  • Firstpage
    295
  • Lastpage
    300
  • Abstract
    In this paper, we propose an approach to category the film kinds using low-level features and visual effect features. This approach aims to category 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 and retrieval of videos on the internet, video-on-demand, and video libraries. Experimental results show the visual effect feature play an important role for classifying the film kinds.
  • Keywords
    Application software; Content based retrieval; Data mining; Gunshot detection systems; Histograms; Image retrieval; Internet; Layout; Motion pictures; Visual effects; movie genres; shot detection; visual features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2007 IEEE Workshop on
  • Conference_Location
    Shanghai, China
  • ISSN
    1520-6130
  • Print_ISBN
    978-1-4244-1222-8
  • Electronic_ISBN
    1520-6130
  • Type

    conf

  • DOI
    10.1109/SIPS.2007.4387561
  • Filename
    4387561