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