Building Recognition via Object Detection and Geospatial Intelligence

    公开(公告)号:US20210019908A1

    公开(公告)日:2021-01-21

    申请号:US16511836

    申请日:2019-07-15

    Abstract: A method that enables building recognition via object detection and geospatial intelligence. The method includes detecting an object in an input image, wherein the object is located within a bounding area and extracting a physical location and a camera pose associated with the input image. The method also includes projecting a location coordinate of at least one entity onto the input image to obtain a projected point for the at least one entity, wherein the at least one entity is selected according to the physical location and camera pose associated with the input image and determining a nearest projected point to the bounding area. Finally, the method includes labeling the object within the bounding area with an entity name of the at least one entity associated with the nearest projected point.

    USER LOCATION PROFILE FOR PERSONALIZED SEARCH EXPERIENCE

    公开(公告)号:US20170286534A1

    公开(公告)日:2017-10-05

    申请号:US15084392

    申请日:2016-03-29

    CPC classification number: G06F16/337 G06F16/24 G06F16/29 G06F16/9537

    Abstract: Architecture that enables the creation and utilization of a user location profile for a personalized search experience in recommendation systems. The user location profile does not necessitate login of the user to obtain user profile information such as a user ID. Rather, the identifying information associated with the user location can be a network address and/or a device identifier that identifies the particular device from which the user is performing a search or which auto-suggest is being initiated. The user location profile can then be used to identify items about which the user may want information. Once generated, a matching operation is performed between the user location profile and item profiles in a log. The matched item profiles related to the user's location information (the user physical location and/or or user interested location(s)) are identified and recommended to the user.

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