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