Name
Abstract | ||
|---|---|---|
Surveillance cameras are ubiquitous around us. Emerging full-feature object-detection models can analyze surveillance videos with high accuracy but consume much computation. Directly applying these models for practical scenarios with large-scale cameras is prohibitively expensive. This, however, is wasteful and unnecessary considering that user-defined anomalies occur rarely among these videos. Th... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TC.2020.2970413 | IEEE Transactions on Computers |
Keywords | DocType | Volume |
Streaming media,Computational modeling,Graphics processing units,Visual analytics,Real-time systems,Analytical models,Object detection | Journal | 69 |
Issue | ISSN | Citations |
6 | 0018-9340 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Zhang | 1 | 112 | 41.68 |
| Qiang Cao | 2 | 17 | 8.39 |
| Hong Jiang | 3 | 2137 | 157.96 |
| Wenhui Zhang | 4 | 292 | 43.28 |
| Jingjun Li | 5 | 6 | 1.86 |
| Jie Yao | 6 | 11 | 4.20 |