Neural network-based image colorization on image/video editing applications
US11335048B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2020 |
| Grant date | May 17, 2022 |
| Priority date | — |
| Expiry date | Nov 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/001
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing system and method for neural network-based image colorization is provided. The computing system obtains a reference color image by selective application of a color effect on a region of interest of an input image and controls a display device to display a first node graph on a Graphical User Interface of an image/video editing application. The first node graph includes a colorization node representing a first workflow for colorization of at least a first object in grayscale images of a first image feed. The computing system selects the reference color image based on a user input and executes the first workflow associated with the colorization node by feeding the reference color image and the first image feed as an input to a neural network-based colorization model. The computing system receives a second image feed comprising colorized images as output of the neural network-based colorization model for the input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.