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公开(公告)号：US09355300B1
公开(公告)日：2016-05-31
申请号：US14056852
申请日：2013-10-17
Applicant: Google Inc.
Inventor： Shumeet Baluja , Yushi Jing
CPC classification number: G06K9/00221 , G06K9/00288 , G06Q50/01
Abstract: The subject matter of this specification can be embodied in, among other things, a computer-implemented method that includes receiving a plurality of images having human faces. The method further includes generating a data structure having representations of the faces and associations that link the representations based on similarities in appearance between the faces. The method further includes outputting a first gender value for a first representation of a first face that indicates a gender of the first face based on one or more other gender values of one or more other representations of one or more other faces that are linked to the first representation.
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公开(公告)号：US09224211B2
公开(公告)日：2015-12-29
申请号：US14140440
申请日：2013-12-24
Applicant: Google Inc.
Inventor： Meng Wang , Yushi Jing
CPC classification number: G06T7/2006 , G06T7/269 , G06T2207/10016
Abstract: Embodiments for moving object detection in an image are disclosed. These include detecting a moving object in an input image by selecting video frames that are visually similar to the input image, generating a model motion image by estimating motion for each selected video frame, and detecting, using the model motion image, a moving object in the input image based on differences between the model motion image and the input image.
Abstract translation: 公开了用于在图像中移动物体检测的实施例。 这些包括通过选择与输入图像在视觉上类似的视频帧来检测输入图像中的运动对象，通过估计每个所选视频帧的运动来生成模型运动图像，以及使用模型运动图像检测运动对象 基于模型运动图像和输入图像之间的差异的输入图像。
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公开(公告)号：US09189498B1
公开(公告)日：2015-11-17
申请号：US14609961
申请日：2015-01-30
Applicant: Google Inc.
Inventor： Yushi Jing , Wei Cai , Stephen C. Holiday
CPC classification number: G06F17/30247 , G06F17/30244 , G06F17/3028 , G06F17/30867 , G06K9/6201
Abstract: A device may be configured to identify a plurality of images that are similar to a query image; generate a plurality of sets of rankings of the identified images based on a plurality of image attributes; compare the generated plurality of sets of rankings of the identified images to a reference set of rankings of images; select, based on the comparing, a particular set of rankings; and rank a plurality of images that are associated with another query image, based on an attribute associated with the selected particular set of rankings.
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公开(公告)号：US09025811B1
公开(公告)日：2015-05-05
申请号：US13732813
申请日：2013-01-02
Applicant: Google Inc.
Inventor： Sergey Ioffe , Yushi Jing , Stephen Holiday
CPC classification number: G06F17/3025 , G06F17/30256 , G06K9/00684 , G06K9/62 , G06K9/6212 , G06K9/6262
Abstract: Image similarity operations are performed in which a seed image is analyzed, and a set of semantic classifications are determined from analyzing the seed image. The set of semantic classifications can include multiple positive semantic classifications. A distance measure is determined that is specific to the set of semantic classifications. The seed image is compared to a collection of images using the distance measure. A set of similar images is determined from comparing the seed image to the collection of images.
Abstract translation: 执行图像相似度操作，其中分析种子图像，并且通过分析种子图像来确定一组语义分类。 语义分类集合可以包括多个正的语义分类。 确定特定于语义分类集合的距离度量。 使用距离测量将种子图像与图像的集合进行比较。 通过比较种子图像和图像的集合来确定一组相似的图像。
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公开(公告)号：US09424338B2
公开(公告)日：2016-08-23
申请号：US14264411
申请日：2014-04-29
Applicant: Google Inc.
Inventor： Yushi Jing , Michele Covell , Stephen C. Holiday
CPC classification number: G06F17/30598 , G06F17/30256 , G06F17/3028 , G06F17/3053
Abstract: Aspects of the subject matter described herein relate to functions used for retrieving image results based on search queries. More specifically, image search queries can be pre-grouped or classified based on visual and semantic similarity. For example, a pairwise image similarity value for a pair of queries can be computed based on one or more of the sum of all of the overlapping the image results, the sum of the image distances between all of the pairs of images in the image results, and the rank of each of the images in the image results. The pairwise image similarity values can then be used to generate image query clusters. Each image query clusters can include a set of queries with high pairwise image similarity values. In some examples, a distance function can be determined for each image query cluster. This data can be used to provide image results.
Abstract translation: 本文描述的主题的方面涉及用于基于搜索查询来检索图像结果的功能。 更具体地，可以基于视觉和语义相似性对图像搜索查询进行预分组或分类。 例如，可以基于图像结果重叠的全部和之和中的一个或多个来计算一对查询的成对图像相似度值，图像结果中所有图像对之间的图像距离之和 ，以及图像中每个图像的等级。 然后可以使用成对图像相似度值来生成图像查询簇。 每个图像查询群集可以包括具有高成对图像相似度值的一组查询。 在一些示例中，可以为每个图像查询簇确定距离函数。 该数据可用于提供图像结果。
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Patent Agency Ranking
公开(公告)号：US09268795B2
公开(公告)日：2016-02-23
申请号：US14288695
申请日：2014-05-28
Applicant: Google Inc.
Inventor： Shumeet Baluja , Yushi Jing
CPC classification number: G06F17/30256 , G06F17/30247 , G06F17/30864 , G06F17/30876
Abstract: Implementations consistent with the principles described herein relate to ranking a set of images based on features of the images determine the most representative and/or highest quality images in the set. In one implementation, an initial set of images is obtained and ranked based on a comparison of each image in the set of images to other images in the set of images. The comparison is performed using at least one predetermined feature of the images.
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公开(公告)号：US20150169635A1
公开(公告)日：2015-06-18
申请号：US14492515
申请日：2014-09-22
Applicant: Google Inc.
Inventor： Yushi Jing , Henry Allan Rowley , Aparna Chennapragada
IPC: G06F17/30
CPC classification number: G06F17/30247 , G06F17/30244 , G06F17/30265 , G06F17/30274 , G06F17/3028 , G06F17/30554 , G06F17/30598 , G06F17/30867
Abstract: This specification relates to presenting image search results. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving an image query, the image query being a query for image search results; receiving ranked image search results responsive to the image query, the image search results each including an identification of a corresponding image resource; generating a similarity matrix for images identified by the image search results; generating a hierarchical grouping of the images using the similarity matrix; identifying a canonical image for each group in the hierarchical grouping using a ranking measure; and presenting a visual representation of the image search results based on the hierarchical grouping and the identified canonical images.
Abstract translation: 本说明书涉及呈现图像搜索结果。 通常，本说明书中描述的主题的一个方面可以体现在包括接收图像查询的动作，图像查询是图像搜索结果的查询的方法中; 响应于图像查询接收排序图像搜索结果，图像搜索结果各自包括相应图像资源的标识; 生成由图像搜索结果识别的图像的相似性矩阵; 使用相似性矩阵生成图像的分层分组; 使用排序度量来识别分层分组中的每个组的规范图像; 并且基于分层分组和识别的规范图像来呈现图像搜索结果的视觉表示。
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公开(公告)号：US08744191B1
公开(公告)日：2014-06-03
申请号：US13953167
申请日：2013-07-29
Applicant: Google Inc.
Inventor： Shumeet Baluja , Yushi Jing
CPC classification number: G06F17/30256 , G06F17/30247 , G06F17/30864 , G06F17/30876
Abstract: Implementations consistent with the principles described herein relate to ranking a set of images based on features of the images determine the most representative and/or highest quality images in the set. In one implementation, an initial set of images is obtained and ranked based on a comparison of each image in the set of images to other images in the set of images. The comparison is performed using at least one predetermined feature of the images.
Abstract translation: 与本文描述的原理一致的实现涉及基于图像的特征对图像集进行排序，从而确定集合中最具代表性和/或最高质量的图像。 在一个实现中，基于图像集合中的每个图像与该组图像中的其他图像的比较，获得初始图像集并进行排名。 使用图像的至少一个预定特征来执行比较。
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公开(公告)号：US09594826B2
公开(公告)日：2017-03-14
申请号：US14319888
申请日：2014-06-30
Applicant: Google Inc.
Inventor： Yushi Jing , Boon-Lock Yeo , Yong Zhang , Guang Hua Li , Gangjiang Li , Hui Li
CPC classification number: G06F17/30616 , G06F17/301 , G06F17/30265 , G06F17/30864 , G06K9/6254
Abstract: Co-selected images are labeled based on a topic score that is a measure of relevance of the co-selected image to a first topic to which a reference image belongs. The first topic to which the reference image belongs is identified based on a reference label associated with the reference image. The co-selected images are images that are selected for presentation subsequent to selection of the reference image during a user session. The co-selected images are identified based on selection data for user sessions in which the reference image was selected for presentation. The topic score is generated based on a frequency of selection of the co-selected image. Image search results for a second topic can be filtered to remove images that are labeled as belonging to the first topic or the image search results can be reordered to adjust the presentation positions at which images are referenced based on the topic to which the images belong.
Abstract translation: 共同选择的图像基于作为参考图像所属的第一主题的共同选择的图像的相关性的量度的主题分数来标记。 基于与参考图像相关联的参考标签来识别参考图像所属的第一主题。 共同选择的图像是在用户会话期间选择参考图像之后被选择用于呈现的图像。 基于选择参考图像以供呈现的用户会话的选择数据来识别共同选择的图像。 基于选择合成图像的频率来生成主题分数。 可以对第二主题的图像搜索结果进行滤波，以删除标记为属于第一主题的图像，或者图像搜索结果可以被重新排序，以根据图像属于的主题调整图像所引用的展示位置。
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公开(公告)号：US09589208B2
公开(公告)日：2017-03-07
申请号：US14534825
申请日：2014-11-06
Applicant: Google Inc.
Inventor： Yushi Jing , Yi Liu , David Tsai
CPC classification number: G06K9/6256 , G06F17/241 , G06F17/30256 , G06K9/00664 , G06K9/6215 , G06K9/6218 , G06K9/622 , G06K9/6267 , G06N99/005
Abstract: Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.
Abstract translation: 公开了用于注释图像的方法，系统和制品。 这些包括使用多个经过训练的分类器对图像进行评分，其中训练有序的分类器中的每一个对应于基于图像相似性聚集的多个图像组中的至少一个，并且其中每个图像组与一组加权标签相关联; 基于评分选择一个或多个图像组; 聚集与所选择的一个或多个图像组相关联的一组或多组加权标签; 并使用聚集的一组或多组加权标签来注释图像。
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