Method for locating one or more candidate digital images being likely candidates for depicting an object
US10635948B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 6, 2018 |
| Grant date | Apr 28, 2020 |
| Priority date | — |
| Expiry date | Dec 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2413
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for finding one or more candidate digital images being likely candidates for depicting a specific object comprising: receiving an object digital image depicting the specific object; determining, using a classification subnet of a convolutional neural network, a class for the specific object depicted in the object digital image; selecting, based on the determined class for the specific object depicted in the object digital image, a feature vector generating subnet from a plurality of feature vector generating subnets; determining, by the selected feature vector generating subnet, a feature vector of the specific object depicted in the object digital image; locating one or more candidate digital images being likely candidates for depicting the specific object depicted in the object digital image by comparing the determined feature vector and feature vectors registered in a database, wherein each registered feature vector is associated with a digital image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.