Methods and systems for low-energy image classification
US10055672B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2015 |
| Grant date | Aug 21, 2018 |
| Priority date | — |
| Expiry date | Jun 21, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/94
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Examples of the disclosure enable efficient processing of images. In some examples, one or more interest points are identified in an image. One or more features are extracted from the identified interest points using a filter module, a gradient module, a pool module, and/or a normalizer module. The extracted features are aggregated to generate one or more vectors. Based on the generated vectors, it is determined whether the extracted features satisfy a predetermined threshold. Based on the determination, the image is classified such that the image is configured to be processed based on the classification. Aspects of the disclosure facilitate conserving memory at a local device, reducing processor load or an amount of energy consumed at the local device, and/or reducing network bandwidth usage between the local device and the remote device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.