Verification of the authenticity of images using a decoding neural network
US12327420B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2020 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Dec 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/95
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This document describes techniques and apparatuses for verifying the authenticity of images. In aspects, methods include receiving, by a decoder system (220), an image (210) to be verified; performing feature recognition on the received image to determine determined features (238) of the received image; generating a first output (236) defining values representing the determined features; decoding the received image, by a message decoding neural network (252), to extract a signature (254) embedded in the received image, the embedded signature representing recovered features (258) of the received image; generating a second output (256) defining values representing the recovered features; providing the first output and the second output to a manipulation detection neural network (272); and generating, by the manipulation detection neural network, an estimation of an authenticity of the received image utilizing at least the first output and the second output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.