Tagging similar images using neural network
US9740966B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 5, 2016 |
| Grant date | Aug 22, 2017 |
| Priority date | — |
| Expiry date | Mar 15, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An approach is provided in which a knowledge manager selects an extraction layer from a convolutional neural network that was trained on an initial set of images. The knowledge manager processes subsequent images obtained from crawling a computer network that includes extracting image feature sets of the subsequent images from the selected extraction layer and generating tags from metadata associated with the subsequent images. In turn, the knowledge manager receives a new image, extracts a new image feature set from the selected extraction layer, and assigns one or more of the tags to the new image based upon evaluating the new image feature set to the image features sets of the subsequent images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.