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A System for Generating Personalized Virtual News

  • Jian-Jun Xu
  • Jun Wen
  • Dan-Wen Chen
  • Yu-Xiang Xie
  • Ling-Da Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4261)

Abstract

To improve the degree of immersion for strategic situation representation in strategic war gaming, the concept of virtual news and automatic generation model are presented in this paper. Via analyzing characteristic of news video, the design and generation algorithm for virtual news narrative template are given, which borrow the idea of Natural Language Process and combine the specialties of news video. And the narrative template revise algorithm is also proposed based on time constraints. Virtual News is automatically generated driven by virtual news narrative template, which retrieving relative news segments in multimedia database and selecting appropriate representation method based on the model- EEDU (Extended Entity-Description-Utility). This approach can generate virtual news according to text description about strategic situation provided by users, and furthermore provide personalized service for decision-makers. Finally, experiment results are used to indicate the validity of our system.

Keywords

Automatic Generation News Report Description Schema News Video Subject Sentence 
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 2006

Authors and Affiliations

  • Jian-Jun Xu
    • 1
  • Jun Wen
    • 1
  • Dan-Wen Chen
    • 1
  • Yu-Xiang Xie
    • 1
  • Ling-Da Wu
    • 1
  1. 1.Center for Multimedia TechnologyNational University of Defense TechnologyChangshaChina

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