Machine learning of real-time image capture parameters
US9826149B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2015 |
| Grant date | Nov 21, 2017 |
| Priority date | — |
| Expiry date | May 21, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.