Visual similarity and attribute manipulation using deep neural networks
US10824942B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 10, 2017 |
| Grant date | Nov 3, 2020 |
| Priority date | — |
| Expiry date | Aug 3, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments described herein are directed to allowing manipulation of visual attributes of a query image while preserving the visual attributes of a query image. A query image can be received and analyzed using a trained network to determine a set of items whose images demonstrate visual similarity to the query image across a plurality of visual attributes. Visual attributes of the query image may be manipulated to allow a user to search for items that incorporate the desired manipulated visual attributes while preserving the visual attributes of the query image. Content for at least a determined number of highest ranked, or most similar, items related to the modified visual attributes can then be provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.