Neural network for video editing

摘要

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.

主权项

1. A neural network of interconnected video recording systems comprising:
a) plurality of video recording systems that record video footage and metadata; b) a host computer system having machine learning capabilities and a video editing algorithm to automatically edit video recorded by said plurality of video recording systems; c) wherein said plurality of video recording systems are communicatively coupled with said host computer system; d) wherein said video editing algorithm uses the recorded video footage and metadata to automatically edit recorded video footage; wherein the video editing algorithm is modified based on user input that modifies the automatic editing made by the video editing algorithm for subsequent editing.