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    Method and apparatus for automated analysis and identification of a person in image and video content
    164.
    发明授权
    Method and apparatus for automated analysis and identification of a person in image and video content 有权
    用于自动分析和识别图像和视频内容中的人的方法和装置

    公开(公告)号：US09558397B2

    公开(公告)日：2017-01-31

    申请号：US15164395

    申请日：2016-05-25

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Zhu Liu ,  Andrea Basso ,  Lee Begeja ,  David Crawford Gibbon ,  Bernard S. Renger ,  Behzad Shahraray ,  Eric Zavesky

    IPC: G06K9/00 ,  G06F17/30

    CPC classification number: G06K9/00288 ,  G06F17/30247 ,  G06F17/30259 ,  G06F17/30268 ,  G06F17/30793 ,  G06K9/00536 ,  G06K9/00677 ,  G06K2009/00328

    Abstract: A method, apparatus, and computer readable medium for identifying a person in an image includes an image analyzer. The image analyzer determines the content of an image such as a person, location, and object shown in the image. A person in the image may be identified based on the content and event data stored in a database. Event data includes information concerning events and related people, locations, and objects determined from other images and information. Identification metadata is generated and linked to each analyzed image and comprises information determined during image analysis. Tags for images are generated based on identification metadata. The event database can be queried to identify particular people, locations, objects, and events depending on a user's request.

    Abstract translation: 用于识别图像中的人的方法，装置和计算机可读介质包括图像分析器。 图像分析仪确定图像中显示的人物，位置和对象等图像的内容。 可以基于存储在数据库中的内容和事件数据来识别图像中的人。 事件数据包括有关事件和相关人员，位置以及从其他图像和信息确定的对象的信息。 生成识别元数据并链接到每个分析的图像，并且包括在图像分析期间确定的信息。 基于身份元数据生成图像标签。 可以查询事件数据库，以根据用户的请求识别特定的人员，位置，对象和事件。

    System and method to assign a digital image to a face cluster
    168.
    发明授权
    System and method to assign a digital image to a face cluster 有权
    将数字图像分配给面部群集的系统和方法

    公开(公告)号：US08781179B2

    公开(公告)日：2014-07-15

    申请号：US13662790

    申请日：2012-10-29

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Lee Begeja ,  Zhu Liu

    IPC: G06K9/36 ,  G06K9/62

    CPC classification number: G06K9/00295 ,  G06F17/30793

    Abstract: A method includes accessing a digital image including a plurality of faces including a first face and a second face. The method includes identifying a plurality of identification regions of the digital image including a first identification region associated with the first face and a second identification region associated with the second face. The method also includes assigning the digital image to a first face cluster of a plurality of face clusters when a difference between data descriptive of the first identification region and data descriptive of a face cluster identification region of the first face cluster satisfies a threshold. The method further includes assigning the digital image to a second face cluster of the plurality of face clusters based at least partially on a frequency of the second face and the first face appearing together in an image.

    Abstract translation: 一种方法包括访问包括包括第一面和第二面的多个面的数字图像。 该方法包括识别数字图像的多个识别区域，其包括与第一面相关联的第一识别区域和与第二面部相关联的第二识别区域。 该方法还包括当描述第一识别区域的数据与描述第一面部群集的面部群集识别区域的数据之间的差异满足阈值时，将数字图像分配给多个面部群集的第一面部群集。 该方法还包括至少部分地基于图像中一起出现的第二面部和第一面部的频率将数字图像分配给多个面部群集中的第二面部群集。

    Automated content selection for groups
    169.
    发明授权
    Automated content selection for groups 有权

    公开(公告)号：US12167086B2

    公开(公告)日：2024-12-10

    申请号：US17970621

    申请日：2022-10-21

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： David Crawford Gibbon ,  Yadong Mu ,  Lee Begeja ,  Bernard S. Renger ,  Raghuraman Gopalan ,  Behzad Shahraray ,  Zhu Liu ,  Eric Zavesky

    IPC: H04N21/45 ,  H04N21/214 ,  H04N21/25 ,  H04N21/258 ,  H04N21/442 ,  H04N21/482

    Abstract: Aspects of the subject disclosure may include, for example, a system and method for selecting media content for a group of persons located at a venue. The system and method identify a plurality of viewers in a vicinity of a venue that has one or more display devices from location data and extracts a content viewing preference of each viewer from their profile data. The process includes aggregating the content viewing preference of each of the plurality of viewers to generate an aggregated content profile. Based on the aggregated content profile, a list of content is generated. Next, a first group of viewers approaching a viewing range of a display device are sensed by imaging data. Any conflicts between content viewing preferences of the first group of viewers are detected and resolved based on weighting the viewing preferences of the group. Other embodiments are disclosed.

    Machine Learning Model Understanding As-A-Service
    170.
    发明公开
    Machine Learning Model Understanding As-A-Service 审中-公开

    公开(公告)号：US20240311700A1

    公开(公告)日：2024-09-19

    申请号：US18675062

    申请日：2024-05-27

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Eric Zavesky ,  David Crawford Gibbon ,  Lee Begeja ,  Paul Triantafyllou ,  Behzad Shahraray

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: Concepts and technologies disclosed herein are directed to machine learning model understanding as-a-service. According to one aspect of the concepts and technologies disclosed herein, a model understanding as-a-service system can receive, from a user system, a service request that includes a machine learning model created for a user associated with the user system. The model understanding as-a-service system can conduct an analysis of the machine learning model in accordance with the service request. The model understanding as-a-service system can compile, for the user, results of the analysis of the machine learning model in accordance with the service request. The model understanding as-a-service system can create a service response that includes the results of the analysis. The model understanding as-a-service system can provide the service response to the user system.

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