Deep learning from real world and digital exemplars
US10888777B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 1, 2018 |
| Grant date | Jan 12, 2021 |
| Priority date | — |
| Expiry date | Dec 9, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/44
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of deep learning from real world and digital exemplars includes determining, by one or more processors of a computer system, a style component of a digital environment of a game platform, combining, by the one or more processors of the computer system, the style component with content derived from a real world exemplar, morphing, by one or more processors of a computer system, the real world exemplar to an augmented digital exemplar of the game platform, and adapting, by the one or more processors of the computer system, at least one deep learning algorithm to accomplish at least one of the determining, combining and morphing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.