DocumentCode :
1712414
Title :
Low energy motion estimation via selective aproximations
Author :
Emre, Yunus ; Chakrabarti, Chaitali
Author_Institution :
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
fYear :
2011
Firstpage :
176
Lastpage :
183
Abstract :
This paper presents a novel sum of absolute difference (SAD) scheme that significantly reduces the energy consumption of the motion estimation kernel in video coders. The proposed scheme exploits the facts that most of the absolute difference (AD) calculations result in small values, and most of the large AD values do not contribute to the SAD values of the blocks that are selected. Thus the large AD values can be approximated, resulting in lower critical path delay and lower energy consumption of the SAD unit. In addition, the proposed scheme truncates one lower order bit and variants of this scheme implement sub-sampling to further reduce the energy consumption. Performance of the proposed technique is evaluated using the H.264 video encoding framework. Simulation results show 37.5% reduction in energy consumption at nominal voltage and 68% energy reduction for iso-throughput compared to the conventional implementation with only 0.06% drop in PSNR and 1.8% increase in compressed data rate. With an additional ½ sub-sampling, the proposed scheme achieves 90% reduction in energy consumption with 0.6% reduction in PSNR and 6.5% increase in compressed data rate.
Keywords :
approximation theory; data compression; energy consumption; motion estimation; video coding; H.264 video encoding; PSNR; absolute difference calculations; compressed data rate; energy consumption reduction; low energy motion estimation; selective aproximations; sum of absolute difference scheme; Computer architecture; Degradation; Delay; Energy consumption; Motion estimation; PSNR; Video sequences; Error Resiliency; Low Energy Implementation; Motion Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application-Specific Systems, Architectures and Processors (ASAP), 2011 IEEE International Conference on
Conference_Location :
Santa Monica, CA
ISSN :
2160-0511
Print_ISBN :
978-1-4577-1291-3
Electronic_ISBN :
2160-0511
Type :
conf
DOI :
10.1109/ASAP.2011.6043266
Filename :
6043266
Link To Document :
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