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    Digital watermarking and data hiding with clear topcoats
    252.
    发明授权
    Digital watermarking and data hiding with clear topcoats 有权

    公开(公告)号：US11741567B2

    公开(公告)日：2023-08-29

    申请号：US17372261

    申请日：2021-07-09

    Applicant: Digimarc Corporation

    Inventor： Kristyn R. Falkenstern ,  Alastair M. Reed ,  Vojtech Holub ,  Tony F. Rodriguez

    IPC: G06K7/12 ,  G06K19/06 ,  G06T1/00 ,  G07D7/00 ,  G07D7/1205 ,  B42D25/333

    CPC classification number: G06T1/0021 ,  G06K7/12 ,  G06K19/0614 ,  G06K19/06056 ,  G07D7/0034 ,  G07D7/1205 ,  B42D25/333

    Abstract: The present disclosure relates to signal processing such as image processing, signal encoding, digital watermarking and data hiding. One claim recites a method including: capturing imagery corresponding to a printed object with a red or blue illumination source, the red or blue illumination source having an illumination wavelength at or around 660 nm or an illumination wavelength in the range of 60 nm centered around 460 nm, said capturing imagery yielding captured data; wherein the printed object includes a clear coat printed thereon, the clear coat including a material that has a peak absorbance at or around 660 nm or in the range of 60 nm centered around 460 nm, the clear coat printed in a manner to convey an encoded plural-bit message, the encoded plural-bit message corresponding to product information; analyzing the captured data with one or more programmed multi-core processors to decode the encoded plural-bit message, said analyzing yielding the product information; and providing the product information as an output. Of course, other claims, technology and combinations are disclosed.

    Scanner with control logic for resolving package labeling conflicts
    253.
    发明授权
    Scanner with control logic for resolving package labeling conflicts 有权

    公开(公告)号：US11449698B2

    公开(公告)日：2022-09-20

    申请号：US17346019

    申请日：2021-06-11

    Applicant: Digimarc Corporation

    Inventor： Arthur L. Powell ,  Tony F. Rodriguez ,  Scott M. Long

    IPC: G06K7/14 ,  G06K19/06 ,  G06K7/10

    Abstract: An automatic object identification scanner is equipped with recognition units that provide detection results for objects and a controller that resolves potential conflicts in the results. One form of recognition unit detects product identifiers and flags in a digital payload that is encoded redundantly across packaging or labels applied to packaging. The controller gets detection results and evaluates them relative to a state data structure, which maintains state for identifiers obtained within a time interval, such as a timeout interval or waiting period after a detection result. Identifiers are reported to a POS system depending on logic that evaluates code priority and pending waiting periods.

    LEARNING SYSTEMS AND METHODS
    254.
    发明申请
    LEARNING SYSTEMS AND METHODS 有权

    公开(公告)号：US20220270199A1

    公开(公告)日：2022-08-25

    申请号：US17694396

    申请日：2022-03-14

    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 ,  G06K9/62 ,  G06V10/24 ,  G06V20/20

    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.

    Scanner with control logic for resolving package labeling conflicts
    256.
    发明授权
    Scanner with control logic for resolving package labeling conflicts 有权

    公开(公告)号：US11036949B2

    公开(公告)日：2021-06-15

    申请号：US16789904

    申请日：2020-02-13

    Applicant: Digimarc Corporation

    Inventor： Arthur L. Powell ,  Tony F. Rodriguez ,  Scott M. Long

    IPC: G06K7/14 ,  G06K19/06 ,  G06K7/10

    Abstract: An automatic object identification scanner is equipped with recognition units that provide detection results for objects and a controller that resolves potential conflicts in the results. One form of recognition unit detects product identifiers and flags in a digital payload that is encoded redundantly across packaging or labels applied to packaging. The controller gets detection results and evaluates them relative to a state data structure, which maintains state for identifiers obtained within a time interval, such as a timeout interval or waiting period after a detection result. Identifiers are reported to a POS system depending on logic that evaluates code priority and pending waiting periods.

    Context-based smartphone sensor logic
    257.
    发明授权
    Context-based smartphone sensor logic 有权

    公开(公告)号：US10930289B2

    公开(公告)日：2021-02-23

    申请号：US16709463

    申请日：2019-12-10

    Applicant: Digimarc Corporation

    Inventor： Tony F. Rodriguez ,  Yang Bai

    IPC: G10L15/28 ,  G10L15/22 ,  G06T7/00 ,  G10L19/00 ,  G06K9/00 ,  G06K9/62 ,  G10L15/08 ,  G10L15/20 ,  H04M1/725

    Abstract: Methods employ sensors in portable devices (e.g., smartphones) both to sense content information (e.g., audio and imagery) and context information. Device processing is desirably dependent on both. For example, some embodiments activate certain processor intensive operations (e.g., content recognition) based on classification of sensed content and context. The context can control the location where information produced from such operations is stored, or control an alert signal indicating, e.g., that sensed speech is being transcribed. Some arrangements post sensor data collected by one device to a cloud repository, for access and processing by other devices. Multiple devices can collaborate in collecting and processing data, to exploit advantages each may have (e.g., in location, processing ability, social network resources, etc.). A great many other features and arrangements are also detailed.

    Learning systems and methods
    258.
    发明授权
    Learning systems and methods 有权

    公开(公告)号：US10902539B2

    公开(公告)日：2021-01-26

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

    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.

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