DocumentCode :
2288082
Title :
Low power surveillance video coding system
Author :
Jin, Xin ; Ba, Kun ; Goto, Satoshi
Author_Institution :
Inf. Technol. Res. Organ., Waseda Univ., Kitakyushu, Japan
fYear :
2010
fDate :
19-23 July 2010
Firstpage :
1156
Lastpage :
1157
Abstract :
In this demo, a low power H.264/AVC video encoding system is demonstrated for surveillance video compression, which is based on our proposed algorithms as difference detection and Hilbert transform based workload estimation. Two surveillance video coding schemes (with and without our proposed methods, respectively) are implemented on multi-core embedded platform and compared side by side. The power consumption of each encoding scheme is measured during video encoding and displayed explicitly to show a more than 60% power reduction introduced by the proposed methods. The reconstructed video is also synchronized and displayed as the video is encoded to present a maximum of 50 times higher encoding speed.
Keywords :
Hilbert transforms; video coding; video surveillance; H.264/AVC video encoding; Hilbert transform; difference detection; low power surveillance; video coding; video compression; workload estimation; Automatic voltage control; Encoding; Estimation; Image coding; Power demand; Surveillance; Video coding; Difference detection; low power video coding; surveillance video coding; workload estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2010 IEEE International Conference on
Conference_Location :
Suntec City
ISSN :
1945-7871
Print_ISBN :
978-1-4244-7491-2
Type :
conf
DOI :
10.1109/ICME.2010.5583167
Filename :
5583167
Link To Document :
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