Digital image analysis utilizing multiple human labels
US8379994B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 13, 2010 |
| Grant date | Feb 19, 2013 |
| Priority date | — |
| Expiry date | Nov 8, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/217
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for implementing a multi-label image recognition framework for classifying digital images are provided. The provided multi-label image recognition framework utilizes an iterative, multiple analysis path approach to model training and image classification tasks. A first iteration of the multi-label image recognition framework generates confidence maps for each label, which are shared by the multiple analysis paths to update the confidence maps in subsequent iterations. The provided multi-label image recognition framework permits model training and image classification tasks to be performed more accurately than conventional single-label image recognition frameworks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.