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:
determining, by a computing system, a first distance metric between a first multi-dimensional vector and a second multi-dimensional vector, wherein the first multi-dimensional vector is based on provision of a first image including a detected first set of poselets associated with a first user into a first instance of a neural network and the second multi-dimensional vector is based on provision of a second image including a detected second set of poselets associated with a second user into a second instance of the neural network; determining, by the computing system, a second distance metric between the first multi-dimensional vector and a third multi-dimensional vector, wherein the third multi-dimensional vector is based on provision of a third image including a detected third set of poselets associated with a third user into a third instance of the neural network; and modifying, by the computing system, the neural network to cause the first distance metric to be less than the second distance metric.