DocumentCode
2522510
Title
Complexity scalable video encoding for power-aware applications
Author
Solak, Serdar Burak ; Labeau, Fabrice
Author_Institution
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear
2010
fDate
15-18 Aug. 2010
Firstpage
443
Lastpage
449
Abstract
Mobile multimedia application design has taken precedence in the field of wireless communications due to the growing demand for mobile devices to perform multimedia functions. To sustain such high complexity and power hungry functions on battery-powered devices, power-aware concepts should be employed in the design of mobile multimedia applications. An effective power-aware design should serve two functions. The first is to lower overall power consumption with minimum impact on performance and the second is to adjust its power consumption rate to extend the battery life of its platform. In this paper, we tackle one of the most up-and-coming multimedia functions, video compression, by introducing a novel complexity-scalable video encoding framework for power-aware applications. The proposed video encoder embodies both functions of power-aware design. The complexity-scalability is maintained efficiently through a single control-parameter; and significant complexity reduction rates are achieved through a novel prediction scheme. The performance of the proposed design is demonstrated and compared with some of the existing complexity reduction and complexity scalability techniques.
Keywords
data compression; mobile radio; multimedia communication; video coding; battery life; battery-powered device; complexity reduction rate; complexity-scalable video encoding; control-parameter; mobile devices; mobile multimedia application design; multimedia function; power consumption rate; power-aware application; power-aware design; video compression; video encoder; wireless communication; Complexity theory; Power-aware video compression; complexity scalable video encoding; low complexity H.264 encoding; optimization methods; rate-distortion-complexity theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing Conference, 2010 International
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-7612-1
Type
conf
DOI
10.1109/GREENCOMP.2010.5598281
Filename
5598281
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