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    Training image sampling
    34.
    发明授权
    Training image sampling 有权
    训练图像抽样

    公开(公告)号：US09230194B2

    公开(公告)日：2016-01-05

    申请号：US14027512

    申请日：2013-09-16

    Applicant: Google Inc.

    Inventor： Andrew Rabinovich ,  Hartwig Adam

    IPC: G06K9/00 ,  G06K9/66 ,  G06K9/62

    CPC classification number: G06K9/66 ,  G06K9/6256 ,  G06K9/6267 ,  G06K2209/17

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting training images. One of the methods includes determining, for each of a plurality of labels that each designate a respective food class of a plurality of food classes, a respective measure of importance. A respective sample size is determined for the label based on the respective measure of importance of the label. A number of training images are selected for each respective label according to the determined sample size for the label. A predictive model is trained using the selected training images as training data.

    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，用于选择训练图像。 其中一种方法包括为每个指定多个食品类别的相应食品类别的多个标签中的每一个确定相应的重要度量。 基于标签的重要性的相应测量，确定标签的相应样本大小。 根据标签的确定的样本大小，为每个各个标签选择多个训练图像。 使用所选择的训练图像作为训练数据训练预测模型。

    Facial recognition with social network aiding
    35.
    发明授权
    Facial recognition with social network aiding 有权
    社交网络辅助的面部识别

    公开(公告)号：US09208177B2

    公开(公告)日：2015-12-08

    申请号：US14185392

    申请日：2014-02-20

    Applicant: Google Inc.

    Inventor： David Petrou ,  Andrew Rabinovich ,  Hartwig Adam

    IPC: G06F7/00 ,  G06K9/00 ,  G06F17/30

    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。

    ADJUSTMENT OF FACIAL IMAGE SEARCH RESULTS
    36.
    发明申请
    ADJUSTMENT OF FACIAL IMAGE SEARCH RESULTS 有权
    调整图像搜索结果

    公开(公告)号：US20150261787A1

    公开(公告)日：2015-09-17

    申请号：US14205669

    申请日：2014-03-12

    Applicant: Google Inc.

    Inventor： Wenze Hu ,  Zhongli Ding ,  Hartwig Adam ,  Randall G. Keller

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

    CPC classification number: G06F17/30247 ,  G06K9/00288 ,  G06K9/6218 ,  G06K9/6255 ,  G06K9/6284

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting facial image search results. In one aspect, a method includes detecting, in images that are responsive to a query, faces in the images and building facial templates. The images are then clustered according to similarity measures of the facial templates. The cluster with the highest quantity is selected, and each image in the set of returned images is compared to each image in the selected cluster. The similarity of each face with the faces in the largest cluster, based on the facial templates, is determined as an inlier score for the image in which the face is depicted. The system then increases the rank of images with high inlier scores and decreases the rank of images with low inlier scores.

    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，用于调整面部图像搜索结果。 一方面，一种方法包括在响应于查询的图像中检测面部在图像中并构建面部模板。 然后根据面部模板的相似度测量对图像进行聚类。 选择具有最高数量的群集，并将所返回图像集中的每个图像与所选群集中的每个图像进行比较。 基于面部模板，每个面部与最大簇中的脸部的相似度被确定为描绘脸部的图像的入射点。 然后，系统增加具有高入射分数的图像的等级，并且降低具有低初始分数的图像的等级。

    SYSTEM AND METHOD FOR ASSOCIATING IMAGES WITH SEMANTIC ENTITIES
    37.
    发明申请
    SYSTEM AND METHOD FOR ASSOCIATING IMAGES WITH SEMANTIC ENTITIES 有权
    用于将图像与语义实体相关联的系统和方法

    公开(公告)号：US20150154232A1

    公开(公告)日：2015-06-04

    申请号：US13742791

    申请日：2013-01-16

    Applicant: Google Inc.

    Inventor： Maks Ovsjanikov ,  Yuan Li ,  Hartwig Adam ,  Charles Joseph Rosenberg

    IPC: G06F17/30

    CPC classification number: G06F17/30256 ,  G06F17/30247 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30542 ,  G06F17/30867

    Abstract: A system and computer-implemented method for associating images with semantic entities and providing search results using the semantic entities. An image database contains one or more source images associated with one or more images labels. A computer may generate one or more documents containing the labels associated with each image. Analysis may be performed on the one or more documents to associate the source images with semantic entities. The semantic entities may be used to provide search results. In response to receiving a target image as a search query, the target image may be compared with the source images to identify similar images. The semantic entities associated with the similar images may be used to determine a semantic entity for the target image. The semantic entity for the target image may be used to provide search results in response to the search initiated by the target image.

    Abstract translation: 一种用于将图像与语义实体相关联并使用语义实体提供搜索结果的系统和计算机实现的方法。 图像数据库包含与一个或多个图像标签相关联的一个或多个源图像。 计算机可以生成包含与每个图像相关联的标签的一个或多个文档。 可以对一个或多个文档执行分析，以将源图像与语义实体相关联。 语义实体可以用于提供搜索结果。 响应于接收目标图像作为搜索查询，可以将目标图像与源图像进行比较以识别相似的图像。 与相似图像相关联的语义实体可以用于确定目标图像的语义实体。 用于目标图像的语义实体可以用于响应于由目标图像发起的搜索来提供搜索结果。

    USING SENSOR INPUTS FROM A COMPUTING DEVICE TO DETERMINE SEARCH QUERY
    38.
    发明申请
    USING SENSOR INPUTS FROM A COMPUTING DEVICE TO DETERMINE SEARCH QUERY 审中-公开
    使用计算机设备的传感器输入来确定搜索查询

    公开(公告)号：US20150088923A1

    公开(公告)日：2015-03-26

    申请号：US14033794

    申请日：2013-09-23

    Applicant: Google Inc.

    Inventor： Laura Garcia-Barrio ,  David Petrou ,  Hartwig Adam

    IPC: G06F17/30

    CPC classification number: G06F16/583 ,  G06F16/243

    Abstract: An image input is obtained from a computing device when an image sensor of the computing device is directed to a scene. At least an object of interest in the scene is determined, and a label is determined for the object of interest. A search input is received from the computing device, where the search input is obtained from a mechanism other than the image sensor. An ambiguity is determined from the search input. A search query is determined that augments or replaces the ambiguity based at least in part on the label. A search result is based on the search query.

    Abstract translation: 当计算设备的图像传感器被引导到场景时，从计算设备获得图像输入。 至少确定场景中的感兴趣对象，并且为感兴趣对象确定标签。 从计算设备接收搜索输入，其中搜索输入是从图像传感器以外的机制获得的。 从搜索输入确定歧义。 确定至少部分地基于标签增加或替代歧义的搜索查询。 搜索结果基于搜索查询。

    Landmarks from digital photo collections
    39.
    发明授权
    Landmarks from digital photo collections 有权

    公开(公告)号：US10303975B2

    公开(公告)日：2019-05-28

    申请号：US15663796

    申请日：2017-07-30

    Applicant: Google Inc.

    Inventor： Hartwig Adam ,  Li Zhang

    IPC: G06K9/62 ,  G06K9/00 ,  G06K9/46 ,  G06K9/60 ,  G06F7/00 ,  G06F16/50 ,  G06F16/58 ,  G06F16/583 ,  G06K9/72

    Abstract: Methods and systems for automatic detection of landmarks in digital images and annotation of those images are disclosed. A method for detecting and annotating landmarks in digital images includes the steps of automatically assigning a tag descriptive of a landmark to one or more images in a plurality of text-associated digital images to generate a set of landmark-tagged images, learning an appearance model for the landmark from the set of landmark-tagged images, and detecting the landmark in a new digital image using the appearance model. The method can also include a step of annotating the new image with the tag descriptive of the landmark.

    FACE TEMPLATE BALANCING
    40.
    发明申请
    FACE TEMPLATE BALANCING 审中-公开

    公开(公告)号：US20180089498A1

    公开(公告)日：2018-03-29

    申请号：US15721453

    申请日：2017-09-29

    Applicant: Google Inc.

    Inventor： Jonathan McPhie ,  Hartwig Adam ,  Dan Fredinburg ,  Alexei Masterov

    IPC: G06K9/00 ,  G06K9/62

    CPC classification number: G06K9/00241 ,  G06K9/00288 ,  G06K9/6254 ,  G06K9/6255

    Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.

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