Name
Abstract | ||
|---|---|---|
Power consumption is very critical for portable video applications. During compression, the motion estimation unit consumes the largest portion of power since it performs a huge amount of computation. Different low power architectures for implementing the full-search block-matching (FSBM) motion estimation are discussed. Also, architectural enhancements to further reduce the power consumed during FSBM motion estimation without sacrificing throughput or optimality are presented. The proposed approach achieves these power savings by disabling portions of the architecture that perform unnecessary computations. A comparison between the different architectures including our enhancements and others is presented using simulation and analytical analysis. Different benchmarks are used to test and compare the discussed architectures. Analytical and simulation results show the effectiveness of the enhancements. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1142/S0218126604001945 | JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS |
Keywords | Field | DocType |
low power,motion estimation,VLSI,video architectures | Architecture,Computer science,Electronic engineering,Throughput,Motion estimation,Very-large-scale integration,Power consumption,Computation | Journal |
Volume | Issue | ISSN |
13 | 6 | 0218-1266 |
Citations | PageRank | References |
1 | 0.40 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed A. Elgamel | 1 | 64 | 9.44 |
| Magdy A. Bayoumi | 2 | 803 | 122.04 |
| Ahmed M. Shams | 3 | 96 | 10.75 |
| Bertrand Zavidovique | 4 | 216 | 29.64 |