Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31258
Title: Scene cut detection using the colored pattern appearance model
Authors: Sze, KW
Lam, KM 
Qiu, G
Keywords: Image colour analysis
Image recognition
Image representation
Image retrieval
Image sequences
Video signal processing
Issue Date: 2003
Publisher: IEEE
Source: 2003 International Conference on Image Processing, 2003 : ICIP 2003 : proceedings : 14-17 September 2003, v. 3, p. II1017-II1020 How to cite?
Abstract: In this paper, we propose to use the colored pattern appearance model (CPAM) as a content representation for video scene break detection. This model represents a scene by means of global statistics of the local visual appearance, and was originally motivated by studies in human color vision. The performance of this method is compared to several histogram-based approaches. An adaptive thresholding technique, namely entropic thresholding, is applied to determine the respective optimal threshold values for each of the approaches. In the experiments, the two video sequences in the MPEG-7 content set are used to evaluate the performances of the CPAM and the histogram-based methods. Experimental results show that our proposed model outperforms other histogram-based approaches in scene break detection.
URI: http://hdl.handle.net/10397/31258
ISBN: 0-7803-7750-8
ISSN: 1522-4880
DOI: 10.1109/ICIP.2003.1246857
Appears in Collections:Conference Paper

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