Neural network for video editing
US9456174B2 · kind B2 · utility
35Cited by
0References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jan 20, 2015 |
| Grant date | Sep 27, 2016 |
| Priority date | — |
| Expiry date | Mar 1, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/21805
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
An automated video editing system uses user inputs and metadata combined with machine learning technology to gradually improve editing techniques as more footage is edited. The system is designed to work primarily with a network of automated video recording systems that use cooperative tracking methods. The system is also designed to improve tracking algorithms used in cooperative tracking and to enable systems to begin using image recognition based tracking when the results of machine learning are utilized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.