Optimal cropping of digital image based on professionalism score of subject
US10043240B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 14, 2016 |
| Grant date | Aug 7, 2018 |
| Priority date | — |
| Expiry date | May 3, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, an optimal cropping of a digital image is determined. A machine learning algorithm is used to generate a professionalism score for the digital image, the utilizing a machine learning algorithm comprising a training mode where a plurality of sample images with labeled professionalism scores are used to train a classification function in a model that produces as professionalism score as output; and an analysis mode where the model is used to generate a professionalism score for the digital image. Then, the professionalism score is used as an input to a discrete variable optimization algorithm to determine an optimum cropped version of the digital image from a plurality of possible cropped versions of the digital image using the classification function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.