Shard data based on associated social relationship
    1.
    发明授权
    Shard data based on associated social relationship 有权
    根据相关的社会关系划分数据

    公开(公告)号:US09547711B1

    公开(公告)日:2017-01-17

    申请号:US13948130

    申请日:2013-07-22

    Applicant: Google Inc.

    CPC classification number: G06F17/30598 G06F17/3071 G06F17/30864

    Abstract: A method includes identifying a plurality of content types in a database of a social network, wherein members produce and request content of different content types from the database. Job types to be performed on each content type are identified, when requests for content are received from members of the social network. A sharding process for each content type is selected based on the job types to be performed on the content types. The database is sharded into first group of shards for content types having job types that are parallel processing efficient and into second group of shards for content types having job types that are linear processing efficient. The first and second group of shards define a multi-shard database. Requests for contents are serviced from the first group or the second group of shards from the multi-shard database depending on the job types associated with the requests.

    Abstract translation: 一种方法包括在社交网络的数据库中识别多个内容类型,其中成员从数据库产生和请求不同内容类型的内容。 当从社交网络的成员收到对内容的请求时,将识别要针对每种内容类型执行的作业类型。 基于要对内容类型执行的作业类型,选择每种内容类型的分片过程。 将数据库划分为具有并行处理效率的作业类型的内容类型的第一组分片,并将其分割为具有线性处理效率的作业类型的内容类型的第二组分片。 第一组和第二组分片定义了一个多分片数据库。 根据与请求相关联的作业类型,来自多分片数据库的第一组或第二组分片对内容的请求进行服务。

    Local real-time facial recognition
    2.
    发明授权
    Local real-time facial recognition 有权
    本地实时面部识别

    公开(公告)号:US09569656B2

    公开(公告)日:2017-02-14

    申请号:US14099781

    申请日:2013-12-06

    Applicant: Google Inc.

    CPC classification number: G06K9/00221 G06K9/00979 G06K2009/00328 H04N5/772

    Abstract: A system and machine-implemented method for real-time facial recognition at an image capture device is provided. The method includes capturing an image at an image capture device, the image containing at least a first person, analyzing the image to identify one or more data points corresponding to the first person, determining if mapping information corresponding to the one or more data points is locally available at the image capture device, sending a request to a remote device for mapping information when it is determined that mapping information corresponding to the one or more data points is not locally available at the image capture device, receiving mapping information corresponding to the one or more data points in response to the request and locally storing the mapping information at the image capture device.

    Abstract translation: 提供了一种用于图像捕获设备实时面部识别的系统和机器实现方法。 该方法包括在图像捕获装置处拍摄图像,该图像至少包含第一人物,分析图像以识别与第一人对应的一个或多个数据点,确定与该一个或多个数据点相对应的映射信息是否是 在图像捕获设备本地可用的情况下,当确定与所述一个或多个数据点相对应的映射信息在所述图像捕获设备处不可本地可用时,向远程设备发送请求以映射信息;接收对应于所述一个或多个数据点的映射信息 或多个数据点,并且在图像捕获装置处本地存储映射信息。

    LOCAL REAL-TIME FACIAL RECOGNITION
    3.
    发明申请
    LOCAL REAL-TIME FACIAL RECOGNITION 有权
    当地实时认证

    公开(公告)号:US20150163448A1

    公开(公告)日:2015-06-11

    申请号:US14099781

    申请日:2013-12-06

    Applicant: Google Inc.

    CPC classification number: G06K9/00221 G06K9/00979 G06K2009/00328 H04N5/772

    Abstract: A system and machine-implemented method for real-time facial recognition at an image capture device is provided. The method includes capturing an image at an image capture device, the image containing at least a first person, analyzing the image to identify one or more data points corresponding to the first person, determining if mapping information corresponding to the one or more data points is locally available at the image capture device, sending a request to a remote device for mapping information when it is determined that mapping information corresponding to the one or more data points is not locally available at the image capture device, receiving mapping information corresponding to the one or more data points in response to the request and locally storing the mapping information at the image capture device.

    Abstract translation: 提供了一种用于图像捕获设备实时面部识别的系统和机器实现方法。 该方法包括在图像捕获装置处拍摄图像,该图像至少包含第一人物,分析图像以识别与第一人对应的一个或多个数据点,确定与该一个或多个数据点相对应的映射信息是否是 在图像捕获设备本地可用的情况下,当确定与所述一个或多个数据点相对应的映射信息在所述图像捕获设备处不可本地可用时,向远程设备发送请求以映射信息;接收对应于所述一个或多个数据点的映射信息 或多个数据点,并且在图像捕获装置处本地存储映射信息。

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