Combined composition and change-based models for image cropping
US10019823B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 24, 2013 |
| Grant date | Jul 10, 2018 |
| Priority date | — |
| Expiry date | Jun 7, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20132
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In techniques of combined composition and change-based models for image cropping, a composition application is implemented to apply one or more image composition modules of a learned composition model to evaluate multiple composition regions of an image. The learned composition model can determine one or more cropped images from the image based on the applied image composition modules, and evaluate a composition of the cropped images and a validity of change from the image to the cropped images. The image composition modules of the learned composition model include a salient regions module that iteratively determines salient image regions of the image, and include a foreground detection module that determines foreground regions of the image. The image composition modules also include one or more imaging models that reduce a number of the composition regions of the image to facilitate determining the cropped images from the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.