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Using Scripts for Affective Content Retrieval

  • Min Xu
  • Xiangjian He
  • Jesse S. Jin
  • Yu Peng
  • Changsheng Xu
  • Wen Guo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6298)

Abstract

Movie affective content analysis attracts increasing research efforts since affective content not only affect users attentions but also locate movie highlights. However, affective content retrieval is still a challenging task due to the limitation of affective features in movies. Scripts provide direct access to the movie content and represent affective aspects of the movie. In this paper, we utilize scripts as an important clue to retrieve video affective content. The proposed approach includes two main steps. Firstly, affective script partitions are extracted by detecting emotional words. Secondly, affective partitions are validated by using visual and auditory features. The results are encouraging and compared with the manually labelled ground truth.

Keywords

Support Vector Machine Emotional Word Video Segment Emotion Category Video Shot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Min Xu
    • 1
  • Xiangjian He
    • 1
  • Jesse S. Jin
    • 2
  • Yu Peng
    • 2
  • Changsheng Xu
    • 3
  • Wen Guo
    • 3
  1. 1.Faculty of Engineering and Information TechnologyUniversity of TechnologySydneyAustralia
  2. 2.School of Design, Communication and ITUniversity of NewcastleAustralia
  3. 3.National Lab of Pattern Recognition, Institute of AutomationChinese Academy of Sciences 

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