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Video Cataloging System for Real-Time Scene Change Detection of News Video

  • Wanjoo Lee
  • Hyoki Kim
  • Hyunchul Kang
  • Jinsung Lee
  • Yongkyu Kim
  • Seokhee Jeon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3322)

Abstract

It is necessary for various multimedia database applications to develop efficient and fast storage, indexing, browsing, and retrieval of video. We make a cataloging system, which has important information of video data. In this paper, we proposed a method to process huge amount of broadcasting data. It can detect scene-change quickly and effectively for MPEG stream. To extract the DC-image, minimal decoding is employed form MPEG-1 compressed domain. Scene-change is detected by the modified histogram comparative method that combines luminance and color component. A neural network is used to judge whether it is scene-change with an anchorperson and to raise precision of an anchorperson scene extraction.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Wanjoo Lee
    • 1
  • Hyoki Kim
    • 2
  • Hyunchul Kang
    • 2
  • Jinsung Lee
    • 3
  • Yongkyu Kim
    • 4
  • Seokhee Jeon
    • 5
  1. 1.Division of Computer & InformationYongIn UniversityGyunggi-DoKorea
  2. 2.Dept. of Information & Telecommunication EngineeringUniversity of InchoenInchoenKorea
  3. 3.Hee-Jung B/D 4FSeoulKorea
  4. 4.Dept. of Information Communication EngineeringSungkyul UniversityGyunggi-Do
  5. 5.Dept. of Electronics EngineeringUniversity of IncheonIncheonKorea

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