| EPSRC Reference: |
EP/R026424/1 |
| Title: |
Deep Learning from Crawled Spatio-Temporal Representations of Video (DECSTER) |
| Principal Investigator: |
Patras, Professor I |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Sch of Electronic Eng & Computer Science |
| Organisation: |
Queen Mary University of London |
| Scheme: |
Standard Research |
| Starts: |
01 July 2018 |
Ends: |
31 December 2021 |
Value (£): |
343,839
|
| EPSRC Research Topic Classifications: |
|
| EPSRC Industrial Sector Classifications: |
| Creative Industries |
Information Technologies |
| Transport Systems and Vehicles |
|
|
| Related Grants: |
|
| Panel History: |
| Panel Date | Panel Name | Outcome |
|
11 Jan 2018
|
EPSRC ICT Prioritisation Panel Jan 2018
|
Announced
|
|
|
Summary on Grant Application Form |
|
No summary is available for this grant.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
|