Neural network for video editing
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Sep 27, 2016
Grant Date -
Jul 23, 2015
app pub date -
Jan 20, 2015
filing date -
Jan 20, 2014
priority date (Note) -
In Force
status (Latency Note)
Importance
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.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully