公开(公告)号：US09251171B2

公开(公告)日：2016-02-02

申请号：US13690404

申请日：2012-11-30

Applicant: Google Inc.

Inventor： Zhongli Ding ,  Gabriel Wolosin ,  John R. Zhang ,  Charles J. Rosenberg ,  Yang Song

IPC: G06K9/00 ,  G06F17/30 ,  H04N5/66

CPC classification number: G06F17/30256 ,  G06F17/30244

Abstract: Methods, systems and apparatus for identifying modified images based on seed images that are known to be modified images. In an aspect, a method includes accessing data identifying a set of first seed images; for each first seed image, determining a respective first set of similar images from images in an image corpus, each similar image having a visual similarity score that is a measure of visual similarity of the similar image to the first seed image based on the image content of the similar image and the first seed image that satisfies a first seed image similarity threshold; and for each similar image in each respective first set of similar images, attributing to the similar image signal data of each first seed image for which the similar image has a respective visual similarity score satisfying the first seed image similarity threshold.

Abstract translation: 用于基于已知是修改图像的种子图像识别修改图像的方法，系统和装置。 一方面，一种方法包括访问识别一组第一种子图像的数据; 对于每个第一种子图像，从图像语料库中的图像确定相应的第一组相似图像，每个相似图像具有视觉相似度得分，其是基于图像内容的类似图像与第一种子图像的视觉相似度的量度 以及满足第一种子图像相似性阈值的第一种子图像; 并且对于每个相应的第一组相似图像中的每个相似图像，归因于类似图像具有满足第一种子图像相似性阈值的相应视觉相似性得分的每个第一种子图像的相似图像信号数据。

公开(公告)号：US09183460B2

公开(公告)日：2015-11-10

申请号：US13690381

申请日：2012-11-30

Applicant: Google Inc.

Inventor： John R. Zhang ,  Charles J. Rosenberg ,  Yang Song

IPC: G06K9/62

CPC classification number: G06K9/6202 ,  G06K9/6212 ,  G06K2009/6213

Abstract: Methods, systems and apparatus for identifying modified images based on visual dissimilarity to a first image. In an aspect, a method includes determining, for each of a first image and a second image, a respective set of local image feature descriptions; determining one or more unmatched regions of the images that include unmatched image features and that correspond to one or more same respective regions in both the first image and the second image; determining, for each of the one or more unmatched regions of the images, a modification measure based on the image data corresponding to the unmatched region in the first image and the image data corresponding to the unmatched region in the second image; and determining that the second image is a modification of the first image when one of the modification measures meets a modification measure threshold.

Abstract translation: 用于基于与第一图像的视觉差异来识别修改图像的方法，系统和装置。 在一方面，一种方法包括为第一图像和第二图像中的每一个确定相应的局部图像特征描述集合; 确定包括不匹配的图像特征并且对应于第一图像和第二图像中的一个或多个相同的相应区域的图像的一个或多个不匹配的区域; 基于与第一图像中的不匹配区域相对应的图像数据和对应于第二图像中的不匹配区域的图像数据，为图像的一个或多个不匹配区域中的每一个确定修改度量; 以及当所述修改措施之一满足修改度量阈值时，确定所述第二图像是所述第一图像的修改。

公开(公告)号：US20150169930A1

公开(公告)日：2015-06-18

申请号：US13690404

申请日：2012-11-30

Applicant: Google Inc.

Inventor： Zhongli Ding ,  Gabriel Wolosin ,  John R. Zhang ,  Charles J. Rosenberg ,  Yang Song

IPC: G06K9/00

CPC classification number: G06F17/30256 ,  G06F17/30244

Abstract: Methods, systems and apparatus for identifying modified images based on seed images that are known to be modified images. In an aspect, a method includes accessing data identifying a set of first seed images; for each first seed image, determining a respective first set of similar images from images in an image corpus, each similar image having a visual similarity score that is a measure of visual similarity of the similar image to the first seed image based on the image content of the similar image and the first seed image that satisfies a first seed image similarity threshold; and for each similar image in each respective first set of similar images, attributing to the similar image signal data of each first seed image for which the similar image has a respective visual similarity score satisfying the first seed image similarity threshold.

Abstract translation: 用于基于已知是修改图像的种子图像识别修改图像的方法，系统和装置。 一方面，一种方法包括访问识别一组第一种子图像的数据; 对于每个第一种子图像，从图像语料库中的图像确定相应的第一组相似图像，每个相似图像具有视觉相似度得分，其是基于图像内容的类似图像与第一种子图像的视觉相似度的量度 以及满足第一种子图像相似性阈值的第一种子图像; 并且对于每个相应的第一组相似图像中的每个相似图像，归因于类似图像具有满足第一种子图像相似性阈值的相应视觉相似性得分的每个第一种子图像的相似图像信号数据。

公开(公告)号：US20150169988A1

公开(公告)日：2015-06-18

申请号：US13690381

申请日：2012-11-30

Applicant: Google Inc.

Inventor： John R. Zhang ,  Charles J. Rosenberg ,  Yang Song

IPC: G06K9/62

CPC classification number: G06K9/6202 ,  G06K9/6212 ,  G06K2009/6213

Abstract: Methods, systems and apparatus for identifying modified images based on visual dissimilarity to a first image. In an aspect, a method includes determining, for each of a first image and a second image, a respective set of local image feature descriptions; determining one or more unmatched regions of the images that include unmatched image features and that correspond to one or more same respective regions in both the first image and the second image; determining, for each of the one or more unmatched regions of the images, a modification measure based on the image data corresponding to the unmatched region in the first image and the image data corresponding to the unmatched region in the second image; and determining that the second image is a modification of the first image when one of the modification measures meets a modification measure threshold.

Abstract translation: 用于基于与第一图像的视觉差异来识别修改图像的方法，系统和装置。 在一方面，一种方法包括为第一图像和第二图像中的每一个确定相应的局部图像特征描述集合; 确定包括不匹配的图像特征并且对应于第一图像和第二图像中的一个或多个相同的相应区域的图像的一个或多个不匹配的区域; 基于与第一图像中的不匹配区域相对应的图像数据和对应于第二图像中的不匹配区域的图像数据，为图像的一个或多个不匹配区域中的每一个确定修改度量; 以及当所述修改措施之一满足修改度量阈值时，确定所述第二图像是所述第一图像的修改。