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Mining of Video Database

  • Jianping Fan
  • Xingquan Zhu
  • Xiaodong Lin
Part of the Multimedia Systems and Applications Series book series (MMSA, volume 22)

Abstract

As a result of decreasing cost of storage devices, increasing network bandwidth capacities, and improved compression techniques, digital videos are more accessable than ever. To help users find and retrieve relevant video effectively and facilitate new and better ways of entertainment, advanced technologies need to be developed for indexing, filtering, searching, and mining the vast amount of videos available on webs.

Keywords

Access Control Video Content Salient Object Video Shot Concept Hierarchy 
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 Science+Business Media New York 2003

Authors and Affiliations

  • Jianping Fan
    • 1
  • Xingquan Zhu
    • 2
  • Xiaodong Lin
    • 3
  1. 1.Department of Computer ScienceUniversity of North CarolinaCharlotteUSA
  2. 2.Department of Computer SciencePurdue UniversityWest LafayetteUSA
  3. 3.Department of StatisticsPurdue UniversityWest LafayetteUSA

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