Image learning, automatic annotation, retrieval method, and device
US8232996B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2009 |
| Grant date | Jul 31, 2012 |
| Priority date | — |
| Expiry date | Mar 15, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2135
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A first image having annotations is segmented into one or more image regions. Image feature vectors and text feature vectors are extracted from all the image regions to obtain an image feature matrix and a text feature matrix. The image feature matrix and the text feature matrix are projected into a sub-space to obtain the projected image feature matrix and the text feature matrix. The projected image feature matrix and the text feature matrix are stored. First links between the image regions, second links between the first image and the image regions, third links between the first image and the annotations, and fourth links between the annotations are established. Weights of all the links are calculated. A graph showing a triangular relationship between the first image, image regions, and annotations is obtained based on all the links and the weights of the links.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.