Machine learning for digital image selection across object variations
US11921777B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 26, 2022 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | May 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.