Scene exposure auto-compensation for differential image comparisons
    3.
    发明授权
    Scene exposure auto-compensation for differential image comparisons 有权
    用于差分图像比较的场景曝光自动补偿

    公开(公告)号:US09390487B2

    公开(公告)日:2016-07-12

    申请号:US14518915

    申请日:2014-10-20

    Abstract: Changes in image exposure setting may be compensated by creating a table of aggregate differences between corresponding pixels in two images and applying the table of aggregate differences to a portion of one of the two images. The images may be in any color space for visible light, or images not of visible light, such as infrared or depth images. In various configurations, the differences may be aggregated by averaging the differences for pixels of a certain value in one of the two images.

    Abstract translation: 图像曝光设置的改变可以通过创建两个图像中的相应像素之间的聚集差异的表来补偿,并将聚集差异表应用于两个图像之一的一部分。 图像可以在可见光的任何颜色空间中,或者不是可见光的图像,例如红外或深度图像。 在各种配置中,可以通过对两个图像之一中的某个值的像素的差进行平均来聚合差异。

    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.

Patent Agency Ranking