Image processing
US11423255B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 11, 2020 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Jan 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure pertains generally to image feature extraction. Both transfer-learning and multi-task training approaches are considered. In one example, a machine learning model is trained to perform a geographic classification task of distinguishing between images captured in different geographic regions based on their visual content. In another example, a machine learning model is trained to perform an order recognition task of determining information about the order of an image sequence based on its visual content, where the order of the image sequence may be different than the order in which its constituent images were captured. A further example combines the two approaches. The knowledge gained by the ML model in learning one or more such tasks can be applied to a desired image recognition task, such as image segmentation, structure detection or image classification, e.g. with a pre-training/fine-tuning framework or a multi-task learning framework.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.