Identifying parameter image adjustments using image variation and sequential processing
US10614347B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 25, 2018 |
| Grant date | Apr 7, 2020 |
| Priority date | — |
| Expiry date | Aug 6, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for identifying parameter image adjustments. In embodiments, a set of candidate parameter values associated with a parameter to be analyzed in association with an image is identified. Subsequently, the image is rendered in accordance with each candidate parameter value to generate a set of rendered images. A neural network can then be used to identify a parameter image adjustment to apply to the image based on features associated with the set of rendered images. The neural network can be trained based on a comparison of the identified parameter image adjustment and a reference parameter value associated with the parameter being analyzed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.