System and method for object class localization and semantic class based image segmentation
US8111923B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 14, 2008 |
| Grant date | Feb 7, 2012 |
| Priority date | — |
| Expiry date | Oct 23, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An automated image processing system and method are provided for class-based segmentation of a digital image. The method includes extracting a plurality of patches of an input image. For each patch, at least one feature is extracted. The feature may be a high level feature which is derived from the application of a generative model to a representation of low level feature(s) of the patch. For each patch, and for at least one object class from a set of object classes, a relevance score for the patch, based on the at least one feature, is computed. For at least some or all of the pixels of the image, a relevance score for the at least one object class based on the patch scores is computed. An object class is assigned to each of the pixels based on the computed relevance score for the at least one object class, allowing the image to be segmented and the segments labeled, based on object class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.