A new cut detection algorithm with constant false-alarm ratio for video segmentation

Tie Yan Liu, Kwok Tung Lo, Xu Dong Zhang, Jian Feng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)


In this paper, a new cut detection algorithm with constant false-alarm ratio (CFAR) is proposed for video segmentation. In our method, a theoretical threshold determination strategy using the non-parameter based CFAR processing technique is developed to achieve a controllable precision as well as an evaluative recall performance for video cut detection. Simulation results show that this algorithm leads to very good detection performance as compared to the existing techniques.
Original languageEnglish
Pages (from-to)132-144
Number of pages13
JournalJournal of Visual Communication and Image Representation
Issue number2
Publication statusPublished - 1 Jan 2004


  • Constant false-alarm ratio
  • Cut detection
  • Shot-boundary detection
  • Video retrieval
  • Video segmentation

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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