公开(公告)号：US20140341476A1

公开(公告)日：2014-11-20

申请号：US14075424

申请日：2013-11-08

Applicant: Google Inc.

Inventor： Matthew KULICK ,  Hartwig ADAM ,  Taehee Lee ,  Brian Potetz

IPC: G06K9/62

CPC classification number: G06K9/6267 ,  G06F17/30247 ,  G06F17/3028

Abstract: One or more devices may receive multiple images; determine one or more classifications for each of the multiple images; generate a confidence score for each classification of the one or more classifications for each of the multiple images. The confidence score may include a value between two numbers and may identify the likelihood that that a particular classification, of the one or more classifications, correctly corresponds to a particular image, of the multiple images. The confidence score may be based on information, associated with a user, and pixel-based classification information. The one or more devices may sort the multiple images by the one or more classifications and by corresponding confidence scores to form sorted multiple images; and provide the sorted multiple images.

Abstract translation: 一个或多个设备可以接收多个图像; 确定多个图像中的每一个的一个或多个分类; 为每个多个图像的一个或多个分类的每个分类生成置信度分数。 置信度分数可以包括两个数之间的值，并且可以识别出一个或多个分类的特定分类与多个图像的特定图像正确对应的可能性。 可信度分数可以基于与用户相关联的信息和基于像素的分类信息。 一个或多个设备可以通过一个或多个分类和相应的置信分数对多个图像进行分类，以形成分类的多个图像; 并提供排序的多个图像。

公开(公告)号：US09760803B2

公开(公告)日：2017-09-12

申请号：US14075424

申请日：2013-11-08

Applicant: Google Inc.

Inventor： Matthew Kulick ,  Hartwig Adam ,  Taehee Lee ,  Brian Potetz

IPC: G06K9/62 ,  G06F17/30

CPC classification number: G06K9/6267 ,  G06F17/30247 ,  G06F17/3028

Abstract: One or more devices may receive multiple images; determine one or more classifications for each of the multiple images; generate a confidence score for each classification of the one or more classifications for each of the multiple images. The confidence score may include a value between two numbers and may identify the likelihood that that a particular classification, of the one or more classifications, correctly corresponds to a particular image, of the multiple images. The confidence score may be based on information, associated with a user, and pixel-based classification information. The one or more devices may sort the multiple images by the one or more classifications and by corresponding confidence scores to form sorted multiple images; and provide the sorted multiple images.