Using scripts for affective content retrieval

  • Authors:

  • Min Xu;Xiangjian He;Jesse S. Jin;Yu Peng;Changsheng Xu;Wen Guo

  • Affiliations:

  • Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia;Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia;School of Design, Communication and IT, University of Newcastle, Australia;School of Design, Communication and IT, University of Newcastle, Australia;National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences;National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

  • Venue:
  • PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
  • Year:
  • 2010

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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.