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    SYSTEMS AND METHODS FOR LOCATING A MOBILE DEVICE WITHIN A CELLULAR SYSTEM
    21.
    发明申请
    SYSTEMS AND METHODS FOR LOCATING A MOBILE DEVICE WITHIN A CELLULAR SYSTEM 有权
    用于在蜂窝系统中定位移动设备的系统和方法

    公开(公告)号：US20140141815A1

    公开(公告)日：2014-05-22

    申请号：US13863617

    申请日：2013-04-16

    Applicant: Digimarc Corporation

    Inventor： Geoffrey B. Rhoads ,  Tom Tewalt ,  Hugh L. Brunk ,  Tyler J. McKinley

    IPC: G01S5/00 ,  H04W24/00

    CPC classification number: G01S5/0081 ,  H04W24/00 ,  H04W64/00

    Abstract: A system for determining location and timing information in a cellular network includes a space-time calibration unit (SCU) and a plurality of nodes in communication with the SCU. Each node includes a node ping driver that receives frame synchronization information from a respective subset of cell sites, and associates the frame synchronization information with respective receive count stamps generated using a local node clock. The system also includes a user handset that includes a handset ping driver that receives the frame synchronization information from a serving cell site and one or more neighbor cell sites, and associates the frame synchronization information with respective receive count stamps generated using a local handset clock. The SCU uses the information from the node and handset ping drivers to determine a handset location.

    Abstract translation: 用于确定蜂窝网络中的位置和定时信息的系统包括与SCU通信的时空校准单元（SCU）和多个节点。 每个节点包括节点ping驱动器，其从小区站点的相应子集接收帧同步信息，并且将帧同步信息与使用本地节点时钟生成的相应接收计数标记相关联。 该系统还包括用户手机，其包括从服务小区站点和一个或多个相邻小区站点接收帧同步信息的手持机ping驱动程序，并且将帧同步信息与使用本地手持机时钟生成的相应接收计数戳相关联。 SCU使用来自节点和手机ping驱动程序的信息来确定手机位置。

    SIGNALING ARRANGEMENTS EMPLOYING MOLDED THERMOPLASTICS
    24.
    发明申请
    SIGNALING ARRANGEMENTS EMPLOYING MOLDED THERMOPLASTICS 有权

    公开(公告)号：US20210387399A1

    公开(公告)日：2021-12-16

    申请号：US17347358

    申请日：2021-06-14

    Applicant: Digimarc Corporation

    Inventor： Tomas Filler ,  Vojtech Holub ,  Hugh L. Brunk ,  Ravi K. Sharma

    IPC: B29C59/02 ,  G06K19/06 ,  B29C59/00

    Abstract: A thermoplastic resin, such as PET, is molded to define a 2D code signal, such as a digital watermark pattern. The mold can comprise an array of hole or spike features, some of which are directly vented to atmospheric pressure. A network of channels can link the other features to the directly-vented features, so all features are vented. A mold comprising spike features can form a digital watermark pattern on an item such that the watermark payload is decodable both from the side of the item that contacted the mold, and also from the opposite, non-contact side of the item. To aid entry of viscous thermoplastic among the very fine elemental features of a mold representing a watermark signal pattern, the features can be overlapped, forming a connected binary mark having larger features. A variety of other improvements and arrangements are also detailed.

    LEARNING SYSTEMS AND METHODS
    25.
    发明申请
    LEARNING SYSTEMS AND METHODS 有权

    公开(公告)号：US20210217128A1

    公开(公告)日：2021-07-15

    申请号：US17152498

    申请日：2021-01-19

    Applicant: Digimarc Corporation

    Inventor： Tony F. Rodriguez ,  Osama M. Alattar ,  Hugh L. Brunk ,  Joel R. Meyer ,  William Y. Conwell ,  Ajith M. Kamath

    IPC: G06T1/00 ,  G06F21/16 ,  G06K9/00 ,  G06K9/32 ,  G06K9/62

    Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.

    LEARNING SYSTEMS AND METHODS
    27.
    发明申请
    LEARNING SYSTEMS AND METHODS 审中-公开

    公开(公告)号：US20170243317A1

    公开(公告)日：2017-08-24

    申请号：US15446811

    申请日：2017-03-01

    Applicant: Digimarc Corporation

    Inventor： Tony F. Rodriguez ,  Osama M. Alattar ,  Hugh L. Brunk ,  Joel R. Meyer ,  William Y. Conwell ,  Ajith Mulki Kamath

    IPC: G06T1/00 ,  G06K9/62

    CPC classification number: G06T1/0021 ,  G06F21/16 ,  G06K9/00671 ,  G06K9/3216 ,  G06K9/6256 ,  G06K9/6259 ,  G06K9/627

    Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.

    LEARNING SYSTEMS AND METHODS
    29.
    发明申请
    LEARNING SYSTEMS AND METHODS 有权
    学习系统与方法

    公开(公告)号：US20150055855A1

    公开(公告)日：2015-02-26

    申请号：US14449821

    申请日：2014-08-01

    Applicant: Digimarc Corporation

    Inventor： Tony F. Rodriguez ,  Osama M. Alattar ,  Hugh L. Brunk ,  Joel R. Meyer ,  William Y. Conwell ,  Ajith Mulki Kamath

    IPC: G06K9/62

    CPC classification number: G06T1/0021 ,  G06F21/16 ,  G06K9/00671 ,  G06K9/3216 ,  G06K9/6256 ,  G06K9/6259 ,  G06K9/627

    Abstract: A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.

    Abstract translation: 描绘对象的图像序列例如通过零售商店中的销售点终端处的相机被捕获。 识别对象，例如通过从一个或多个图像检测到的条形码或水印。 一旦对象的身份被知道，这样的信息被用于训练分类器（例如，机器学习系统）以从其他捕获的图像识别对象，包括可能由于模糊，劣质照明等而降级的图像。在另一个 处理这种退化的图像以识别在对象的基于指纹的识别中有用的特征点。 从这种退化的图像提取的特征点有助于在现实生活环境下的对象的基于指纹的识别，与从原始图像提取的特征点（例如，包含用于这些对象的标签图案的数字文件）相反。 其他各种功能和布置也有所不同，其中一些涉及设计分类器，以防止分类器复制。

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