2017 Fiscal Year Annual Research Report
Real-time Video Analytics in Compressed Domain for Big Data Traffic Management
| Project/Area Number |
15K21599
|
|---|
| Research Institution | Shizuoka University |
|---|
Principal Investigator |
劉 志 静岡大学, 工学部, 助教 (90750240)
|
|---|
| Project Period (FY) |
2015-04-01 – 2018-03-31
|
| Keywords | video analysis / compressed domain / traffic reduction / edge processing / traffic managment |
|---|
| Outline of Annual Research Achievements |
An overwhelming proportion of collected data is visual media, and it is essential to try to reduce the unnecessary traffic (i.e. traffic management), improve the current computation capacity at the network edge and improve the network conditions. During this year, we implemented the compressed domain video analysis tools, studied how to provide the extra computation capability at the network (including the general mobile edge computing and edge computing in VANETs) and studied how to improve some typical networks.
The results are submitted to or published in conference and journals.
|
