System and method for detection of synthesized videos of humans
US12087414B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 2023 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | May 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/15
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for detection of synthesized videos of humans. The method including: determining blood flow signals using a first machine learning model trained with a hemoglobin concentration (HC) changes training set, the first machine learning model taking as input bit values from a set of bitplanes in a captured image sequence, the HC changes training set including bit values from each bitplane of images captured from a set of subjects for which HC changes are known; determining whether blood flow patterns from the video are indicative of a synthesized video using a second machine learning model, the second machine learning model taking as input the blood flow signals, the second machine learning model trained using a blood flow training set including blood flow data signals from at least one of a plurality of videos of other human subjects for which it is known whether each video is synthesized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.