Relational model based natural language querying to identify object relationships in scene
US10789288B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | May 17, 2018 |
| Grant date | Sep 29, 2020 |
| Priority date | — |
| Expiry date | Feb 6, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/1985
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various aspects of the subject technology relate to systems, methods, and machine-readable media for relational image querying. A system may receive a search query for content from a client device, where the query specifies one or more objects and one or more spatial relationships between the one or more objects. The system may generate a query vector for the query using a computer-operated neural language model. The system may compare the query vector to an indexed vector for each of the one or more spatial relationships between the one or more objects of an image. The system may determine a listing of relational images from a collection of images based on the comparison. The system may determine a ranking for each image in the listing of relational images, and provide search results responsive to the search query to the client device, which may include a prioritized listing of the relational images based on the determined ranking.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.