DocumentCode :
2512221
Title :
Online Principal Background Selection for Video Synopsis
Author :
Feng, Shikun ; Liao, Shengcai ; Yuan, Zhiyong ; Li, Stan Z.
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
17
Lastpage :
20
Abstract :
Video synopsis provides a means for fast browsing of activities in video. Principal background selection (PBS) is an important step in video synopsis. Existing methods make PBS in an offline way and at a high memory cost. In this paper we propose a novel background selection method, ``online principal background selection´´ (OPBS). The OPBS selects n principal backgrounds from N backgrounds in an online fashion with a low memory cost, making it possible to build an efficient online video synopsis system. Another advantage is that, with OPBS, the selected backgrounds are related to not only background changes over time but also video activities. Experimental results demonstrate the advantages of the proposed OPBS.
Keywords :
video signal processing; background selection method; online principal background selection; online video synopsis system; Electron tubes; Histograms; Merging; Silicon; Streaming media; Surveillance; Tin; online; video synopsis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.13
Filename :
5597647
Link To Document :
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