Image processing using a neural network system
US11301728B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 18, 2018 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | Dec 28, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/87
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of processing image data representative of at least part of an image using a computing system to detect at least one class of object in the image. The method comprises processing the image data using a neural network system selected from a plurality of neural network systems including a first neural network system arranged to detect a class of objects, and a second neural network system arranged to detect the class of objects. The first neural network system comprises a first plurality of layers and the second neural network system comprises a second plurality of layers. The second neural network system has at least one of: more layers than the first neural network system; more neurons than the first neural network system; and more interconnections between neurons than the first neural network system. The method comprises obtaining a trigger and, on the basis of the trigger, processing the image data using a selected one of the first and second neural network systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.