Patent Document ID: 20170213112
Application ID: 15005855
Patent Status: 0

Claim One:
1. In a digital medium environment for editing digital visual media, a method of using deep learning to automatically select individuals portrayed in the digital visual media, the method comprising: training, by at least one processor, a neural network utilizing training input generated from a repository of digital training images; generating, by the at least one processor, with regard to a probe digital image portraying a target individual, one or more of: a position channel that indicates positions of pixels in the probe digital image relative to the target individual portrayed in the probe digital image by comparing one or more features of the target individual with a canonical pose, or a shape input channel that comprises an estimated shape of the target individual; and identifying, by the at least one processor, a set of pixels representing the target individual in the probe digital image utilizing the trained neural network and one or more of the position channel or the shape input channel.