Abstract: Provided are devices and methods for rating video scenes from a sporting event. In one example, the method includes receiving data of a plurality of rated sports scenes, normalizing the data of the plurality of rated sports scenes into a plurality of data points, and forming at least two rating groups of data points in dimensional space, normalizing an unrated sports scene into a data point, determining a rating for the unrated scene by comparing the data point of the unrated scene to the at least two rating groups of data points, and outputting information about the determination to a display of a user device. According to various embodiments, the device and method may learn from a few plays manually rated by a coach and apply the coach's learned philosophy automatically to a plurality of unrated plays.

Abstract: Provided are devices and methods for rating video scenes from a sporting event. In one example, the method includes receiving data of a plurality of rated sports scenes, normalizing the data of the plurality of rated sports scenes into a plurality of data points, and forming at least two rating groups of data points in dimensional space, normalizing an unrated sports scene into a data point, determining a rating for the unrated scene by comparing the data point of the unrated scene to the at least two rating groups of data points, and outputting information about the determination to a display of a user device. According to various embodiments, the device and method may learn from a few plays manually rated by a coach and apply the coach's learned philosophy automatically to a plurality of unrated plays.