公开(公告)号：US20170286805A1

公开(公告)日：2017-10-05

申请号：US15089677

申请日：2016-04-04

Applicant: Google Inc.

Inventor： Qian Yu ,  Liron Yatziv ,  Yeqing Li ,  Christian Szegedy ,  Sacha Christopher Arnoud ,  Martin C. Stumpe

IPC: G06K9/62 ,  G06F17/30 ,  G06K9/32

CPC classification number: G06K9/6259 ,  G06F17/30247 ,  G06F17/3028 ,  G06F17/30702 ,  G06K9/3258 ,  G06K9/6215

Abstract: Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images. One or more candidate entity profiles can be determined from an entity directory based at least in part on the one or more images that depict the entity. The one or more images that depict the entity and the one or more candidate entity profiles can be provided as input to a machine learning model. One or more outputs of the machine learning model can be generated. Each output can include a match score associated with an image that depicts the entity and at least one candidate entity profile. The entity directory can be updated based at least in part on the one or more generated outputs of the machine learning model.

公开(公告)号：US10007867B2

公开(公告)日：2018-06-26

申请号：US15089677

申请日：2016-04-04

Applicant: Google Inc.

Inventor： Qian Yu ,  Liron Yatziv ,  Yeqing Li ,  Christian Szegedy ,  Sacha Christopher Arnoud ,  Martin C. Stumpe

IPC: G06K9/62 ,  G06F17/30 ,  G06K9/32

CPC classification number: G06K9/6259 ,  G06F16/337 ,  G06F16/51 ,  G06F16/583 ,  G06K9/3258 ,  G06K9/6215

Abstract: Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images. One or more candidate entity profiles can be determined from an entity directory based at least in part on the one or more images that depict the entity. The one or more images that depict the entity and the one or more candidate entity profiles can be provided as input to a machine learning model. One or more outputs of the machine learning model can be generated. Each output can include a match score associated with an image that depicts the entity and at least one candidate entity profile. The entity directory can be updated based at least in part on the one or more generated outputs of the machine learning model.