Video content authenticity
Lead Research Organisation:
University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP
Abstract
Video content authenticity This thesis will develop new computer vision / AI technologies to establish the provenance
of video clips, in order to better attribute them to authors and mitigate the risk of fake media online.
of video clips, in order to better attribute them to authors and mitigate the risk of fake media online.
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/T518050/1 | 01/10/2020 | 30/09/2025 | |||
| 2441387 | Studentship | EP/T518050/1 | 01/10/2020 | 31/03/2024 | Alexander Black (Jermakov) |