DocumentCode
1997032
Title
Computational complexity scalable scheme for power-aware H.264/AVC encoding
Author
Lee, Hoyoung ; Jung, Bongsoo ; Jung, Jooyoung ; Jeon, Byeungwoo
Author_Institution
Dept. of Electron. & Electr. Eng., Sungkyunkwan Univ., Suwon, South Korea
fYear
2009
fDate
5-7 Oct. 2009
Firstpage
1
Lastpage
6
Abstract
Recent development of portable devices and prevalence of high-throughput communication infrastructures make the video encoding in portable devices on high demand. However, its computational complexity makes the implementation of real-time video encoder on portable devices extremely difficult. Many fast algorithms to solve the problems are not efficient from the view point of worst workload since they consider only reduction of average computational complexity. Moreover, since the amount of reduction of computational complexity highly depends on video sequence, fixed fast algorithms cannot always achieve their full potential for real-time encoding. In this paper, we analyze the complexity of H.264/AVC video coding tools, and develop two parameters for complexity control. Consequently, we design a power-aware complexity scalable encoding scheme implementable on embedded system. Using our target embedded system, the proposed method is verified to save power by about 50%.
Keywords
computational complexity; image sequences; power aware computing; video coding; computational complexity scalable scheme; power-aware H.264/AVC encoding; video encoding; video sequence; Automatic voltage control; Batteries; Computational complexity; Embedded system; Encoding; Energy consumption; User-generated content; Video coding; Video sequences; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
Conference_Location
Rio De Janeiro
Print_ISBN
978-1-4244-4463-2
Electronic_ISBN
978-1-4244-4464-9
Type
conf
DOI
10.1109/MMSP.2009.5293274
Filename
5293274
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