Name
Abstract | ||
|---|---|---|
Real-time intelligent video processing on embedded devices with low power consumption can be useful for applications like drone surveillance, smart cars, and more. However, the limited resources of embedded devices is a challenging issue for effective embedded computing. Most of the existing work on this topic focuses on single device based solutions, without the use of cloud computing mechanisms ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCC.2019.2894621 | IEEE Transactions on Cloud Computing |
Keywords | DocType | Volume |
Streaming media,Cloud computing,Real-time systems,Deep learning,Storms,Fasteners,Object detection | Journal | 9 |
Issue | ISSN | Citations |
3 | 2168-7161 | 0 |
PageRank | References | Authors |
0.34 | 9 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weishan Zhang | 1 | 31 | 5.55 |
| Haoyun Sun | 2 | 1 | 2.38 |
| Dehai Zhao | 3 | 0 | 0.34 |
| Liang Xu | 4 | 0 | 0.34 |
| Xin Liu | 5 | 0 | 0.34 |
| Huansheng Ning | 6 | 847 | 83.48 |
| Jiehan Zhou | 7 | 226 | 28.61 |
| Yi Guo | 8 | 414 | 44.10 |
| Su Yang | 9 | 110 | 14.58 |