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Video Abstracting Using Scene Change Detection and Shot Clustering for Construction of Efficient Video Database

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(2), pp.111-120
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Seong-Yoon Shin ORD ID 1 Pyo,Sung-Bae 2

1군산대학교
2인덕대학

Candidate

ABSTRACT

Video viewers can not understand enough entire video contents because most video is long length data of large capacity. This paper propose efficient scene change detection and video abstracting using new shot clustering to solve this problem. Scene change detection is extracted by method that was merged color histogram with χ2 histogram. Clustering is performed by similarity measure using difference of local histogram and new shot merge algorithm. Furthermore, experimental result is represented by using Real TV broadcast program.

Citation status

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