System and method for generating an optimized image with scribble-based annotation of images using a machine learning model
US12333776B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Mar 1, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Nov 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for generating an optimized image with scribble-based interactive image segmentation model using a machine learning are provided. The method includes, (i) segmenting, using a machine learning model, an image to classify into classes each class is represented with a label, (ii) displaying the classified image which specifies the classes on the classified image with outlines, (iii) enabling a user to scribble on the classified image to annotate the classes if an area is not classified, (iv) assigning a color mask for each scribbled area, (v) computing, using the machine learning model, a loss function for a location of pixels based on color mask, (vi) modifying pre-defined weights for each scribbled area to match the annotated image and a determined class on the classified image, and (vii) generating the optimized image if the annotated image is matched with the determined class on the classified image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.