Utilizing interactive deep learning to select objects in digital visual media
US10192129B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2015 |
| Grant date | Jan 29, 2019 |
| Priority date | — |
| Expiry date | Aug 3, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/248
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for selecting target objects within digital images. In particular, in one or more embodiments, the disclosed systems and methods generate a trained neural network based on training digital images and training indicators. Moreover, one or more embodiments of the disclosed systems and methods utilize a trained neural network and iterative user indicators to select targeted objects in digital images. Specifically, the disclosed systems and methods can transform user indicators into distance maps that can be utilized in conjunction with color channels and a trained neural network to identify pixels that reflect the target object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.