Optimal image transformation based on professionalism score of subject
US10043254B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 14, 2016 |
| Grant date | Aug 7, 2018 |
| Priority date | — |
| Expiry date | Dec 30, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, an image transformation is automatically performed on a digital image to improve perceived professionalism of a subject of the image. A machine learning algorithm is utilized 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; 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 continuous variable optimization algorithm to determine an optimum version of the digital image from a plurality of possible versions of the digital image on which one or more image transformations have been performed, using the classification function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.