Robust video-shot-change detection by adaptive threshold based on the adjacent pixel intensity difference quantization histogram method

Feifei Lee, Koji Kotani, Qiu Chen, Tadahiro Ohmi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a robust video-shot-change detection method based on the adjacent pixel intensity difference quantization histogram method (APIDQ), which had been reliably applied to human face recognition previously. By block-division method and adaptive threshold, experimental results show that the APIDQ method can detect the shot changes more accurately than conventional method that is very susceptible to noises.

Original languageEnglish
Title of host publicationProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
Pages75-78
Number of pages4
Publication statusPublished - 2006 Dec 1
Event8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 - Honolulu, HI, United States
Duration: 2006 Aug 142006 Aug 16

Publication series

NameProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006

Other

Other8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006
Country/TerritoryUnited States
CityHonolulu, HI
Period06/8/1406/8/16

Keywords

  • APIDQ
  • Histogram method
  • Video-shot-change detection

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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