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Automatic Scene Detection in News Program by Integrating Visual Feature and Rules

  • Xingquan Zhu
  • Lide Wu
  • Xiangyang Xue
  • Xiaoye Lu
  • Jianping Fan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2195)

Abstract

Organizing video sequences from shot level to scene level is a challenging task, however, without the scene information, it will be very hard to extract the content of the video. In this paper, a visual and rule information integrated strategy is proposed to detect the scene information of the News programs. First, we extract out the video caption and anchor person (AP) shots in the video. Second, the rules among the scene, video caption, AP shots will be used to detect the scenes. Third, the visual features will also be used to analysis the scene information in the region which can not be covered by the rules. And experimental results based on this strategy are provided and analyzed on broadcast News videos.

Keywords

Visual Feature Dominant Color Video Caption Video Scene News Program 
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 2001

Authors and Affiliations

  • Xingquan Zhu
    • 1
  • Lide Wu
    • 2
  • Xiangyang Xue
    • 2
  • Xiaoye Lu
    • 2
  • Jianping Fan
    • 3
  1. 1.Department of Computer SciencePurdue UniversityW. LafayetteUSA
  2. 2.Department of Computer ScienceFudan UniversityShanghaiChina
  3. 3.Department of Computer ScienceUniversity of North Carolina at CharlotteUSA

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