Semantic image retrieval
US10769502B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 8, 2019 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | May 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/274
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer-implemented techniques for sematic image retrieval are disclosed. Digital images are classified into N number of categories based on their visual content. The classification provides a set of N-dimensional image vectors for the digital images. Each image vector contains up to N number of probability values for up to N number of corresponding categories. An N-dimensional image match vector is generated that projects an input keyword query into the vector space of the set of image vectors by computing the vector similarities between a word vector for the input query and a word vector for each of the N number of categories. Vector similarities between the image match vectors and the set of image vectors can be computed to determine images semantically relevant to the input query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.