公开(公告)号：US11687781B2

公开(公告)日：2023-06-27

申请号：US17308440

申请日：2021-05-05

Applicant: SEE-OUT PTY LTD

Inventor： Sandra Mau ,  Sabesan Sivapalan

IPC: G06N3/08 ,  G06F16/55 ,  G06F16/583 ,  G06F18/214 ,  G06F18/25 ,  G06F18/2415 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V10/44 ,  G06V20/70 ,  G06V20/10

CPC classification number: G06N3/08 ,  G06F16/55 ,  G06F16/583 ,  G06F18/2155 ,  G06F18/2415 ,  G06F18/254 ,  G06V10/454 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10 ,  G06V20/70

Abstract: A method of training an image classification model includes obtaining training images associated with labels, where two or more labels of the labels are associated with each of the training images and where each label of the two or more labels corresponds to an image classification class. The method further includes classifying training images into one or more classes using a deep convolutional neural network, and comparing the classification of the training images against labels associated with the training images. The method also includes updating parameters of the deep convolutional neural network based on the comparison of the classification of the training images against the labels associated with the training images.

公开(公告)号：US11074478B2

公开(公告)日：2021-07-27

申请号：US16074399

申请日：2017-02-01

Applicant: SEE-OUT PTY LTD.

Inventor： Sandra Mau ,  Sabesan Sivapalan

IPC: G06K9/62 ,  G06F16/55 ,  G06F16/583 ,  G06N3/08

Abstract: A method of training an image classification model includes obtaining training images associated with labels, where two or more labels of the labels are associated with each of the training images and where each label of the two or more labels corresponds to an image classification class. The method further includes classifying training images into one or more classes using a deep convolutional neural network, and comparing the classification of the training images against labels associated with the training images. The method also includes updating parameters of the deep convolutional neural network based on the comparison of the classification of the training images against the labels associated with the training images.

公开(公告)号：US11853377B2

公开(公告)日：2023-12-26

申请号：US14916720

申请日：2014-09-26

Applicant: SEE-OUT PTY LTD

Inventor： Sandra Mau

IPC: G06F16/9538 ,  G06F16/951 ,  G06F16/51 ,  G06F16/248 ,  G06F16/22 ,  G06F16/2457 ,  G06T7/90 ,  G06T7/11 ,  G06F16/583 ,  G06F16/58 ,  G06F18/10 ,  G06F18/21 ,  G06T3/40 ,  G06T5/00 ,  G06V30/10

CPC classification number: G06F16/9538 ,  G06F16/2228 ,  G06F16/248 ,  G06F16/24578 ,  G06F16/51 ,  G06F16/58 ,  G06F16/583 ,  G06F16/5838 ,  G06F16/5846 ,  G06F16/5854 ,  G06F16/951 ,  G06F18/10 ,  G06F18/2178 ,  G06T3/40 ,  G06T5/002 ,  G06T7/11 ,  G06T7/90 ,  G06V30/10 ,  G06V2201/09 ,  G06V2201/10

Abstract: Apparatus for performing searching of a plurality of reference images, the apparatus including one or more electronic processing devices that search the plurality of reference images to identify first reference images similar to a sample image, identify image tags associated with at least one of the first reference image, search the plurality of reference images to identify second reference images using at least one of the image tags and provide search results including at least some first and second reference images.

公开(公告)号：US20150242689A1

公开(公告)日：2015-08-27

申请号：US14419795

申请日：2013-08-06

Applicant: SEE-OUT PTY, LTD

Inventor： Sandra Mau

IPC: G06K9/00 ,  G06F17/30 ,  G06Q50/00

CPC classification number: G06K9/00677 ,  G06F16/583 ,  G06Q50/01

Abstract: A system and method for determining graph relationships using images is disclosed. According to one embodiment, the computer-implemented method includes detecting a first feature from an image, detecting a second feature from the image, matching the first feature with a first identity that is associated with a first reference feature, matching the second feature with a second identity that is associated with a second reference feature, and determining a relationship between the first identity and the second identity based on the first feature co-occurring with the second feature in the image.

Abstract translation: 公开了一种使用图像确定图形关系的系统和方法。 根据一个实施例，所述计算机实现的方法包括从图像检测第一特征，从所述图像检测第二特征，使所述第一特征与与第一参考特征相关联的第一身份匹配，所述第一身份与所述第二特征匹配， 第二标识，其与第二参考特征相关联，以及基于与图像中的第二特征共同出现的第一特征来确定第一身份和第二身份之间的关系。

公开(公告)号：US20150033362A1

公开(公告)日：2015-01-29

申请号：US14376580

申请日：2013-02-01

Applicant: SEE-OUT PTY LTD.

Inventor： Sandra Mau ,  Abbas Bigdeli

IPC: G06F21/62 ,  G06N99/00 ,  G06F17/30

CPC classification number: G06F21/6245 ,  G06F17/30268 ,  G06F17/30598 ,  G06K9/00288 ,  G06K9/00677 ,  G06N99/005

Abstract: Systems and methods for notification and privacy management of online photos and videos are herein disclosed. According to one embodiment, a computer-implemented method includes detecting a first feature from a first image belonging to an image source. The first image includes a tag. The computer-implemented method further includes determining a first feature location of the first feature, determining a first tag location of the tag, extracting a first feature signature from the first feature based on a relationship between the first feature location and the first tag location, detecting a second feature from a second image belonging to the image source, extracting a second feature signature from the second feature, performing a first comparison between the first feature signature and the second feature signature, and deriving a first similarity score based on a result of the first comparison.

Abstract translation: 本文公开了在线照片和视频的通知和隐私管理的系统和方法。 根据一个实施例，计算机实现的方法包括从属于图像源的第一图像检测第一特征。 第一张图片包含一个标签。 计算机实现的方法还包括确定第一特征的第一特征位置，确定标签的第一标签位置，基于第一特征位置和第一标签位置之间的关系从第一特征提取第一特征特征， 从属于所述图像源的第二图像检测第二特征，从所述第二特征提取第二特征签名，执行所述第一特征签名和所述第二特征签名之间的第一比较，以及基于所述第一特征签名的结果， 第一次比较。

公开(公告)号：US09514332B2

公开(公告)日：2016-12-06

申请号：US14376580

申请日：2013-02-01

Applicant: SEE-OUT PTY LTD.

Inventor： Sandra Mau ,  Abbas Bigdeli

IPC: G06F15/173 ,  G06F21/62 ,  G06K9/00 ,  G06F17/30 ,  G06N99/00

CPC classification number: G06F21/6245 ,  G06F17/30268 ,  G06F17/30598 ,  G06K9/00288 ,  G06K9/00677 ,  G06N99/005

Abstract: Systems and methods for notification and privacy management of online photos and videos are herein disclosed. According to one embodiment, a computer-implemented method includes detecting a first feature from a first image belonging to an image source. The first image includes a tag. The computer-implemented method further includes determining a first feature location of the first feature, determining a first tag location of the tag, extracting a first feature signature from the first feature based on a relationship between the first feature location and the first tag location, detecting a second feature from a second image belonging to the image source, extracting a second feature signature from the second feature, performing a first comparison between the first feature signature and the second feature signature, and deriving a first similarity score based on a result of the first comparison.

Abstract translation: 本文公开了在线照片和视频的通知和隐私管理的系统和方法。 根据一个实施例，计算机实现的方法包括从属于图像源的第一图像检测第一特征。 第一张图片包含一个标签。 计算机实现的方法还包括确定第一特征的第一特征位置，确定标签的第一标签位置，基于第一特征位置和第一标签位置之间的关系从第一特征提取第一特征特征， 从属于所述图像源的第二图像检测第二特征，从所述第二特征提取第二特征签名，执行所述第一特征签名和所述第二特征签名之间的第一比较，以及基于所述第一特征签名的结果， 第一次比较。