Encoding and concealing information using deep learning
US11443057B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 24, 2019 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Mar 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20221
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the subject disclosure may include, for example, a method for training a deep learning model that includes encoding a content item; generating a blended image by combining a background image and the encoded content; decoding the blended image to generate decoded content corresponding to the content item; and defining or specifying a loss function related to the deep learning model. The method also includes determining values of training parameters for the deep learning model to minimize the loss function, thereby obtaining a trained deep learning model. The method also includes an information concealing procedure using the trained deep learning model to conceal user content by encoding the user content and blending the encoded user content with a user-selected image; the information concealing procedure is substantially independent of the user-selected image. Other embodiments are disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.