SYSTEMS AND METHODS FOR IDENTIFYING USERS IN MEDIA CONTENT BASED ON POSELETS AND NEURAL NETWORKS

摘要

Systems, methods, and non-transitory computer-readable media can receive a first image including a representation of a first user. A second image including a representation of a second user can be received. A first set of poselets associated with the first user can be detected in the first image. A second set of poselets associated with the second user can be detected in the second image. The first image including the first set of poselets can be inputted into a first instance of a neural network to generate a first multi-dimensional vector. The second image including the second set of poselets can be inputted into a second instance of the neural network to generate a second multi-dimensional vector. A first distance metric between the first multi-dimensional vector and the second multi-dimensional vector can be determined.

主权项

1. A computer-implemented method comprising:
receiving, by a computing device, a first image including a representation of a first user; receiving, by the computing device, a second image including a representation of a second user; detecting in the first image a first set of poselets associated with the first user; detecting in the second image a second set of poselets associated with the second user; inputting the first image including the first set of poselets into a first instance of a neural network to generate a first multi-dimensional vector; inputting the second image including the second set of poselets into a second instance of the neural network to generate a second multi-dimensional vector; and determining a first distance metric between the first multi-dimensional vector and the second multi-dimensional vector.