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Modeling and Structuring Multiple Perspective Video for Browsing

  • Yoshihiro Nakanishi
  • Tatsuo Hirose
  • Katsumi Tanaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2224)

Abstract

Recently, MPV(multiple perspective video) has become popular because of recent advancement in digital video technologies. Actually, video surveillance is currently a big application of MPV. In the case of the usage of a lot of video cameras, human’s keyword annotation is a tedious task, and automatic image recognition techniques takes an expensive cost to find what are taken in the MPV. Therefore, we need an effective way of capturing camare metadata and sharing annotation information among MPV data. In this paper, we propose a way of modeling and structuring MPV data based on several semantic relationships for browsing and retrieval.

Keywords

Video Data Semantic Relationship Video Object Annotation Information Video Database 
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

  • Yoshihiro Nakanishi
    • 1
  • Tatsuo Hirose
    • 1
  • Katsumi Tanaka
    • 2
  1. 1.Graduate School of Science and TechnologyKobe UniversityJapan
  2. 2.Graduate School of InformaticsKyoto UniversityJapan

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