Object recognition
US10380461B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 20, 2017 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Oct 20, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20112
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Approaches introduce a pre-processing and post-processing framework to a neural network-based approach to identify items represented in an image. For example, a classifier that is trained on several categories can be provided. An image that includes a representation of an item of interest is obtained. Rotated versions of the image are generated and each of a subset of the rotated images is analyzed to determine a probability that a respective image includes an instance of a particular category. The probabilities can be used to determine a probability distribution of output category data, and the data can be analyzed to select an image of the rotated versions of the image. Thereafter, a categorization tree can then be utilized, whereby for the item of interest represented the image, the category of the item can be determined. The determined category can be provided to an item retrieval algorithm to determine primary content for the item of interest. This information also can be used to determine recommendations, advertising, or other supplemental content, within a specific category, to be displayed with the primary content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.