Facial recognition with social network aiding

    公开(公告)号:US10031927B2

    公开(公告)日:2018-07-24

    申请号:US14929958

    申请日:2015-11-02

    Applicant: Google LLC

    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.

    Identifying objects in images
    39.
    发明授权

    公开(公告)号:US10019506B1

    公开(公告)日:2018-07-10

    申请号:US14752410

    申请日:2015-06-26

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying objects in images. One of the methods includes obtaining data identifying a plurality of object categories; obtaining relationship data for the plurality of object categories; determining a plurality of valid assignments from the relationship data; obtaining, for an image, a respective raw image score for each of the object categories, wherein the raw image score for each of the object categories represents an estimate of a likelihood that the image includes an image of an object that belongs to the object category; and generating a respective final score for each of the object categories from the raw image scores using the valid assignments, wherein the final score for each of the object categories represents the likelihood that the image includes an image of an object that belongs to the object category.

    Methods and Systems for Processing Imagery

    公开(公告)号:US20210248179A1

    公开(公告)日:2021-08-12

    申请号:US17049452

    申请日:2018-09-18

    Applicant: Google LLC

    Abstract: The present disclosure is directed to processing imagery using one or more machine learning (ML) models. In particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ML models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. Each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ML model(s) are configured to determine suitability of imagery.

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