Method and Device for Collecting Audience Information
    2.
    发明申请
    Method and Device for Collecting Audience Information 失效
    用于收集观众信息的方法和设备

    公开(公告)号:US20130132989A1

    公开(公告)日:2013-05-23

    申请号:US13672111

    申请日:2012-11-08

    Abstract: Various embodiments provide a method for collecting audience information of a group of users in an audience measurement. The method may include each user dividing its private information into a private portion and a predetermined number of exchange portions; each user transmitting each of its exchange portions to a respective user of the predetermined number of users selected from the group of users; each user aggregating its private portion and exchange portions received from other users of the group of users, thereby producing randomized information; and aggregating the randomized information of the group of users, thereby producing aggregated private information for the group of users.

    Abstract translation: 各种实施例提供了一种用于在观众测量中收集一组用户的观众信息的方法。 该方法可以包括每个用户将其私有信息划分为私有部分和预定数量的交换部分; 每个用户将其每个交换部分发送给从用户组中选择的预定数量的用户的相应用户; 每个用户聚合其私有部分和从用户组的其他用户接收的交换部分,从而产生随机化信息; 并且聚合用户组的随机化信息,从而为用户组生成聚合的私人信息。

    METHOD AND SYSTEM FOR DETECTING A LANE

    公开(公告)号:US20250029402A1

    公开(公告)日:2025-01-23

    申请号:US18714207

    申请日:2022-11-23

    Abstract: Method and system for detecting a lane are provided herein. In an embodiment, the method comprises: receiving one or more source detecting images captured by an image capturing device (102) at step S302, the or each of the source detecting images including a source road region having lane features; generating a translated source image corresponding to each of the one or more source detecting images by using a lane feature enhancement module (122) at step S304, with the lane features of the source road region being enhanced in the translated source image; and detecting the lane from the translated source image at S306; wherein the lane feature enhancement module (122) is trained by a plurality of training images and comprises a generator network, to: identify a road region (136) of a corresponding training image of the plurality of training images, translate the road region (136) of the corresponding training image to a translated road region to minimize a loss function that quantifies a dissimilarity between the road region (136) and the translated

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