Correlating image annotations with foreground features
US10853407B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2014 |
| Grant date | Dec 1, 2020 |
| Priority date | — |
| Expiry date | Feb 28, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/462
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.