Automated digital parameter adjustment for digital images
US11930303B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2021 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Oct 21, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N9/73
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Systems and techniques for automatic digital parameter adjustment are described that leverage insights learned from an image set to automatically predict parameter values for an input item of digital visual content. To do so, the automatic digital parameter adjustment techniques described herein captures visual and contextual features of digital visual content to determine balanced visual output in a range of visual scenes and settings. The visual and contextual features of digital visual content are used to train a parameter adjustment model through machine learning techniques that captures feature patterns and interactions. The parameter adjustment model exploits these feature interactions to determine visually pleasing parameter values for an input item of digital visual content. The predicted parameter values are output, allowing further adjustment to the parameter values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.