Systems and methods that leverage deep learning to selectively store images at a mobile image capture device
US9836484B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2015 |
| Grant date | Dec 5, 2017 |
| Priority date | — |
| Expiry date | Dec 30, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N23/667
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. The mobile image capture device is operable to input an image into at least one neural network and to receive at least one descriptor of the desirability of a scene depicted by the image as an output of the at least one neural network. The mobile image capture device is operable to determine, based at least in part on the at least one descriptor of the desirability of the scene of the image, whether to store a second copy of such image in a non-volatile memory of the mobile image capture device or to discard a first copy of such image from a temporary image buffer without storing the second copy of such image in the non-volatile memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.