@inproceedings {291,
	title = {Video pause detection using wavelets},
	booktitle = {6th Canadian Conference on Computer and Robot Vision},
	year = {2009},
	month = {05/2009},
	address = {Kelowna, British Columbia, Canada},
	abstract = {<p>As the volume of digital video captured and stored continues to increase, research efforts have focused on content management systems for video indexing and retrieval applications. A first step in generic video processing is shot boundary detection. This paper addresses a novel algorithm for abrupt shot (cut/pause) detection-especially on frames with similar statistics-based on the wavelet transform and content entropy. The algorithm has been successfully tested on some video categories including sport and live videos. Its quantitative performance has been compared to other known methods including pixel, histogram, frequency domain and statistics difference. In each test, the proposed wavelet method outperforms the others.</p>
},
	keywords = {content entropy, content management, content management system, digital video capture, entropy, indexing, shot boundary detection, statistical analysis, statistics-based wavelet transform, video indexing, Video Recording, video retrieval, wavelet transforms},
	doi = {http://dx.doi.org/10.1109/CRV.2009.20},
	author = {S Zaboli and D A. Clausi}
}
