Multi-label multi-instance learning for image classification
US8249366B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2008 |
| Grant date | Aug 21, 2012 |
| Priority date | — |
| Expiry date | Jun 22, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/457
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a technology by which an image is classified (e.g., grouped and/or labeled), based on multi-label multi-instance data learning-based classification according to semantic labels and regions. An image is processed in an integrated framework into multi-label multi-instance data, including region and image labels. The framework determines local association data based on each region of an image. Other multi-label multi-instance data is based on relationships between region labels of the image, relationships between image labels of the image, and relationships between the region and image labels. These data are combined to classify the image. Training is also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.