Systems and methods for digital image analysis
US9208405B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 6, 2010 |
| Grant date | Dec 8, 2015 |
| Priority date | — |
| Expiry date | Jul 25, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for implementing a hierarchical image recognition framework for classifying digital images are provided. The provided hierarchical image recognition framework utilizes a multi-layer approach to model training and image classification tasks. A first layer of the hierarchical image recognition framework generates first layer confidence scores, which are utilized by the second layer to produce a final recognition score. The provided hierarchical image recognition framework permits model training and image classification tasks to be performed more accurately and in a less resource intensive fashion than conventional single-layer image recognition frameworks. In some embodiments real-time operator guidance is provided for an image classification task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.