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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Emre, Y. Chakrabarti, C. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85287, USA (Emre, Y.; Chakrabarti, C.) |
| 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. |
| Starting Page | 176 |
| Ending Page | 183 |
| File Size | 1274780 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457712913 |
| ISSN | 2160052X |
| e-ISBN | 9781457712920 |
| e-ISBN | 9781457712906 |
| DOI | 10.1109/ASAP.2011.6043266 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video sequences Energy consumption PSNR Computer architecture Degradation Delay Motion estimation Low Energy Implementation Motion Estimation Error Resiliency |
| Content Type | Text |
| Resource Type | Article |
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