Deep convolutional neural network prediction of image professionalism
US9904871B2 · kind B2 · utility
6Cited by
2References
20Claims
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Key dates
| Filing date | Apr 14, 2016 |
| Grant date | Feb 27, 2018 |
| Priority date | — |
| Expiry date | Apr 14, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a deep convolutional neural network (DCNN) is created to assign a professionalism score to an input image. The professionalism score indicates a perceived professionalism of a subject of the input image. The DCNN is designed to automatically learn features of images relevant to the professionalism through a training process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.