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

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

doi:10.1016/j.jvcir.2003.10.001

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

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

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

19 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	132-144
Number of pages	13
Journal	Journal of Visual Communication and Image Representation
Volume	15
Issue number	2
DOIs	https://doi.org/10.1016/j.jvcir.2003.10.001
Publication status	Published - 1 Jan 2004

Keywords

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

More information

10.1016/j.jvcir.2003.10.001

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KW - Cut detection

KW - Shot-boundary detection

KW - Video retrieval

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

Abstract

Keywords

ASJC Scopus subject areas

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