Method for using deep learning for facilitating real-time view switching and video editing on computing devices
US10257436B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 11, 2017 |
| Grant date | Apr 9, 2019 |
| Priority date | — |
| Expiry date | Oct 11, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments describe view switching of video on a computing device. In an example, a video processing application receives a stream of video data. The video processing application renders a major view on a display of the computing device. The major view presents a video from the stream of video data. The video processing application inputs the stream of video data to a deep learning system and receives back information that identifies a cropped video from the video based on a composition score of the cropped video, while the video is presented in the major view. The composition score is generated by the deep learning system. The video processing application renders a sub-view on a display of the device, the sub-view presenting the cropped video. The video processing application renders the cropped video in the major view based on a user interaction with the sub-view.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.