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    Presenting image search results
    41.
    发明授权
    Presenting image search results 有权

    公开(公告)号：US09753951B1

    公开(公告)日：2017-09-05

    申请号：US15220671

    申请日：2016-07-27

    Applicant: Google Inc.

    Inventor： Yuan Li ,  Taehee Lee ,  Hartwig Adam

    IPC: G06F17/30

    CPC classification number: G06F17/30277 ,  G06F17/30247 ,  G06F17/3025 ,  G06F17/30256 ,  G06F17/30268 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/3087

    Abstract: A system and computer-implemented method is provided for organizing multiple user submitted results responsive to an image query. A plurality of content submissions may be received from a variety of submitting users, each content submission including an image and an associated label. An image query may provide an image of an object as a request to identify the object. In response to receiving the image query, one or more results of the plurality of content submissions may be identified. A similarity between the labels for each of the one or more results may be determined and used to group the one or more results. Grouped results may be ranked and sorted for accurate and concise presentation to a querying user.

    Presenting image search results
    43.
    发明授权
    Presenting image search results 有权
    呈现图像搜索结果

    公开(公告)号：US09424279B2

    公开(公告)日：2016-08-23

    申请号：US13790024

    申请日：2013-03-08

    Applicant: Google Inc.

    Inventor： Yuan Li ,  Taehee Lee ,  Hartwig Adam

    IPC: G06F17/30

    CPC classification number: G06F17/30277 ,  G06F17/30247 ,  G06F17/3025 ,  G06F17/30256 ,  G06F17/30268 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/3087

    Abstract: A system and computer-implemented method is provided for organizing multiple user submitted results responsive to an image query. A plurality of content submissions may be received from a variety of submitting users, each content submission including an image and an associated label. An image query may provide an image of an object as a request to identify the object. In response to receiving the image query, one or more results of the plurality of content submissions may be identified. A similarity between the labels for each of the one or more results may be determined and used to group the one or more results. Grouped results may be ranked and sorted for accurate and concise presentation to a querying user.

    Abstract translation: 提供了系统和计算机实现的方法，用于响应于图像查询来组织多个用户提交的结果。 可以从各种提交用户接收多个内容提交，每个内容提交包括图像和相关联的标签。 图像查询可以将对象的图像提供为识别对象的请求。 响应于接收到图像查询，可以识别多个内容提交中的一个或多个结果。 可以确定一个或多个结果中的每一个的标签之间的相似性，并用于对一个或多个结果进行分组。 分组的结果可能会排序并排序，以便准确和简明的呈现给查询用户。

    Facial Recognition With Social Network Aiding
    45.
    发明申请
    Facial Recognition With Social Network Aiding 审中-公开
    面部识别与社会网络协助

    公开(公告)号：US20160055182A1

    公开(公告)日：2016-02-25

    申请号：US14929958

    申请日：2015-11-02

    Applicant: Google Inc.

    Inventor： David Petrou ,  Andrew Rabinovich ,  Hartwig Adam

    IPC: G06F17/30 ,  G06K9/00

    CPC classification number: G06F17/30268 ,  G06F17/30256 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30867 ,  G06K9/00288 ,  G06K9/00677

    Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.

    Abstract translation: 面部识别搜索系统如下所述识别与查询中的面部图像相对应的一个或多个可能的名称（或其他个人标识符）。 在接收到具有一个或多个面部图像的视觉查询之后，系统根据视觉相似性标准识别潜在地匹配相应面部图像的图像。 然后识别与潜在图像相关联的一个或多个人。 对于每个已识别的人，从诸如通信应用，社交网络应用，日历应用和协作应用的多个应用中检索包括对请求者的社交连接性度量的个人特定数据。 然后通过根据相应的面部图像和潜在图像匹配之间的视觉相似性的度量以及与社会连接度量进行评估来对所识别的人进行排序来生成人的有序列表。 最后，从列表中至少有一个人标识符被发送到请求者。

    Providing Image Search Templates
    46.
    发明申请
    Providing Image Search Templates 有权
    提供图像搜索模板

    公开(公告)号：US20150317540A1

    公开(公告)日：2015-11-05

    申请号：US14798569

    申请日：2015-07-14

    Applicant: Google Inc.

    Inventor： Troy Chinen ,  Ameesh Makadia ,  Corinna Cortes ,  Hartwig Adam ,  Nemanja Petrovic ,  Teresa Ko ,  Sebastian Pueblas

    IPC: G06K9/62 ,  G06F17/30 ,  G06K9/00 ,  H04N5/232

    CPC classification number: G06K9/6267 ,  G06F17/30259 ,  G06F17/30277 ,  G06K9/0055 ,  G06K9/6202 ,  G06K9/6215 ,  H04N5/23222 ,  H04N5/23293 ,  H04N5/23296

    Abstract: Techniques for providing image search templates are provided. An image search template may be associated with an image search query to aid the user in capturing an image that will be appropriate for processing the search query. The template may be displayed as an overlay during an image capturing process to indicate an appropriate image capturing pose, range, angle, or other view characteristics that may provide more accurate search results. The template may also be used in the image search query to segment the image and identify features relevant to the search query. Images in an image database may be clustered using characteristics of the images or metadata associated with the images in order to establish groups of images from which templates may be derived. The generated templates may be provided to users to assist in capturing images to be used as search engine queries.

    Abstract translation: 提供了提供图像搜索模板的技术。 图像搜索模板可以与图像搜索查询相关联，以帮助用户捕获适合于处理搜索查询的图像。 在图像拍摄过程期间，可以将模板显示为覆盖图，以指示可提供更准确的搜索结果的适当的图像捕获姿态，范围，角度或其他视图特征。 模板也可以用于图像搜索查询中以分割图像并识别与搜索查询相关的特征。 图像数据库中的图像可以使用与图像相关联的图像或元数据的特征来聚类，以便建立可以从其导出模板的图像组。 可以将生成的模板提供给用户以帮助捕获要用作搜索引擎查询的图像。

    Systems and methods for matching visual object components
    47.
    发明授权
    Systems and methods for matching visual object components 有权
    用于匹配视觉对象组件的系统和方法

    公开(公告)号：US09117146B2

    公开(公告)日：2015-08-25

    申请号：US14145279

    申请日：2013-12-31

    Applicant: Google Inc.

    Inventor： Yuan Li ,  Hartwig Adam

    IPC: G06K9/62 ,  G06K9/00

    CPC classification number: G06K9/6256 ,  G06K9/00624 ,  G06K9/00718 ,  G06K9/6201

    Abstract: Systems and methods for modeling the occurrence of common image components (e.g., sub-regions) in order to improve visual object recognition are disclosed. In one example, a query image may be matched to a training image of an object. A matched region within the training image to which the query image matches may be determined and a determination may be made whether the matched region is located within an annotated image component of the training image. When the matched region matches only to the image component, an annotation associated with the component may be identified. In another example, sub-regions within a plurality of training image corpora may be annotated as common image components including associated information (e.g., metadata). Matching sub-regions appearing in many training images of objects may be down-weighted in the matching process to reduce possible false matches to query images including common image components.

    Abstract translation: 公开了用于对共同图像分量（例如，子区域）的发生进行建模以便改进视觉对象识别的系统和方法。 在一个示例中，查询图像可以与对象的训练图像匹配。 可以确定训练图像中与查询图像匹配的匹配区域，并且可以确定匹配区域是否位于训练图像的注释图像分量内。 当匹配区域仅与图像分量匹配时，可以识别与该组件相关联的注释。 在另一示例中，多个训练图像语料库中的子区域可以被注释为包括关联信息（例如，元数据）的公共图像分量。 出现在对象的许多训练图像中的匹配子区域可以在匹配处理中被加权，以减少对包括公共图像分量的查询图像的可能的假匹配。

    Automatic Learning of Logos For Visual Recognition
    49.
    发明申请
    Automatic Learning of Logos For Visual Recognition 有权
    自动学习标识的视觉识别

    公开(公告)号：US20150169634A1

    公开(公告)日：2015-06-18

    申请号：US14446519

    申请日：2014-07-30

    Applicant: Google Inc.

    Inventor： Yuan Li ,  Hartwig Adam

    IPC: G06F17/30

    CPC classification number: G06F17/30247 ,  G06F17/30265 ,  G06F17/3028 ,  G06F17/30598 ,  G06K9/00536 ,  G06K9/6255 ,  G06K9/6807 ,  G06K2209/21

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically extracting logos from images. Methods include generating a query list including a plurality of logo search queries, for each logo search query of the plurality of logo search queries: generating a plurality of image search results, each image search result including image data, and clustering the plurality of image search results into a plurality of clusters, each cluster including a plurality of images of the plurality of image search results, extracting, for each cluster of the plurality of clusters, a representative image to provide a plurality of representative images, and a name corresponding to the representative image to provide a plurality of names, and providing the plurality of representative images and the plurality of names to a logo index, the logo index being accessible to identify one or more logo images in a query image.

    Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于从图像自动提取徽标。 方法包括为多个标识搜索查询的每个标识搜索查询生成包括多个徽标搜索查询的查询列表：生成多个图像搜索结果，每个图像搜索结果包括图像数据，并且对多个图像搜索进行聚类 结果为多个群集，每个群集包括所述多个图像搜索结果的多个图像，针对所述多个群集中的每个群集提取代表图像以提供多个代表图像，以及与所述多个群集对应的名称 代表性图像以提供多个名称，并且将多个代表图像和多个名称提供给标识索引，所述标识索引可被访问以识别查询图像中的一个或多个标志图像。

    Scene classification for place recognition
    50.
    发明授权
    Scene classification for place recognition 有权
    场地识别场景分类

    公开(公告)号：US08798378B1

    公开(公告)日：2014-08-05

    申请号：US13962352

    申请日：2013-08-08

    Applicant: Google Inc.

    Inventor： Boris Babenko ,  Hartwig Adam ,  John Flynn ,  Hartmut Neven

    IPC: G06K9/62

    CPC classification number: G06K9/00671 ,  G06K2209/27

    Abstract: Aspects of the disclosure pertain to identifying whether or not an image from a user's device is of a place or not. As part of the identification, a training procedure may be performed on a set of training images. The training procedure includes performing measurements of image data for each image in the set to derive a result. The result includes a series of variables for each training image in the set. The series of variable is evaluated for each training image to obtain one or more measurement weights and one or more measurement thresholds. These weights and thresholds are adjusted to set a false positive threshold and a false negative threshold for identifying whether an actual image is of a place type or is some other type of image.

    Abstract translation: 本公开的方面涉及确定来自用户设备的图像是否是位置。 作为识别的一部分，可以对一组训练图像执行训练程序。 训练过程包括对集合中的每个图像执行图像数据的测量以得到结果。 结果包括一组变量，用于集合中的每个训练图像。 对每个训练图像评估一系列变量以获得一个或多个测量权重和一个或多个测量阈值。 调整这些权重和阈值以设置假阳性阈值和假阴性阈值，用于识别实际图像是地方类型还是其他类型的图像。

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