Robust content fingerprinting for image attribution
US12147495B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2021 |
| Grant date | Nov 19, 2024 |
| Priority date | — |
| Expiry date | Apr 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A visual search system facilitates retrieval of provenance information using a machine learning model to generate content fingerprints that are invariant to benign transformations while being sensitive to manipulations. The machine learning model is trained on a training image dataset that includes original images, benign transformed variants of the original images, and manipulated variants of the original images. A loss function is used to train the machine learning model to minimize distances in an embedding space between benign transformed variants and their corresponding original images and increase distances between the manipulated variants and their corresponding original images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.