Name
Abstract | ||
|---|---|---|
This paper develops an accuracy-based cross-layer optimization solution for wireless automated video surveillance systems, in which multiple sources stream videos to a central proxy station. The proposed solution manages the application rates and transmission opportunities of various video sources based on the dynamic network conditions in such a way that maximizes the overall detection accuracy of the computer vision algorithm(s). We demonstrate the effectiveness of the proposed solution through extensive experiments. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ISM.2016.0055 | 2016 IEEE International Symposium on Multimedia (ISM) |
Keywords | Field | DocType |
Automated Video Surveillance,Bandwidth Allocation,Computer Vision Algorithm,Cross-Layer Optimization | Dynamic network analysis,Computer vision,Wireless,Cross-layer optimization,Computer science,Bandwidth allocation,Real-time computing,Computer vision algorithms,Video tracking,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
978-1-5090-4572-3 | 1 | 0.37 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad A. Alsmirat | 1 | 130 | 16.98 |
| Nabil J. Sarhan | 2 | 123 | 15.79 |