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11.
公开(公告)号:US20200320660A1
公开(公告)日:2020-10-08
申请号:US16853327
申请日:2020-04-20
Applicant: Digimarc Corporation
Inventor: Ajith M. Kamath , Christopher A. Ambiel , Utkarsh Deshmukh , Andi R. Castle , Christopher M. Haverkate
Abstract: Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.
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公开(公告)号:US20250028919A1
公开(公告)日:2025-01-23
申请号:US18675848
申请日:2024-05-28
Applicant: Digimarc Corporation
Inventor: Vojtech Holub , Utkarsh Deshmukh , Tomas Filler
IPC: G06K7/14 , G06K19/06 , G06T1/00 , G06T3/40 , G06T7/73 , G06V10/20 , G06V10/30 , G06V10/32 , H04N23/56
Abstract: The present technology relates to image signal processing. One aspect of the present technology involves analyzing reference imagery gathered by a camera system to determine which parts of an image frame offer high probabilities of—relative to other image parts—containing decodable signal data. Another aspect of the present technology whittles-down such determined image frame parts based on detected content (e.g., a cereal box) vs expected background within such determined image frame parts.
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13.
公开(公告)号:US20240104682A1
公开(公告)日:2024-03-28
申请号:US18223352
申请日:2023-07-18
Applicant: Digimarc Corporation
Inventor: Ajith M. Kamath , Christopher A. Ambiel , Utkarsh Deshmukh , Andi R. Castle , Christopher M. Haverkate
CPC classification number: G06T1/0092 , G06F16/1858 , G06K19/06103 , G06N3/08 , G06T11/20
Abstract: Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.
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公开(公告)号:US20230316386A1
公开(公告)日:2023-10-05
申请号:US18176700
申请日:2023-03-01
Applicant: Digimarc Corporation
Inventor: Ravi K. Sharma , Tomas Filler , Utkarsh Deshmukh , Vahid Sedighianaraki , William Y. Conwell
IPC: G06Q30/0601 , G06V10/82 , G06F18/214 , G06F18/22 , G06F18/2431 , G06V10/10 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/46 , G06V20/00
CPC classification number: G06Q30/0641 , G06V10/82 , G06F18/214 , G06F18/22 , G06F18/2431 , G06V10/17 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/462 , G06V20/00 , G06N3/04
Abstract: Aspects of the detailed technologies concern training and use of neural networks for fine-grained classification of large numbers of items, e.g., as may be encountered in a supermarket. Mitigating false positive errors is an exemplary area of emphasis. Novel network topologies are also detailed—some employing recognition technologies in addition to neural networks. A great number of other features and arrangements are also detailed.
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15.
公开(公告)号:US11704765B2
公开(公告)日:2023-07-18
申请号:US16853327
申请日:2020-04-20
Applicant: Digimarc Corporation
Inventor: Ajith M. Kamath , Christopher A. Ambiel , Utkarsh Deshmukh
CPC classification number: G06T1/0092 , G06F16/1858 , G06K19/06103 , G06N3/08 , G06T11/20
Abstract: Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.
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公开(公告)号:US10664722B1
公开(公告)日:2020-05-26
申请号:US15726290
申请日:2017-10-05
Applicant: Digimarc Corporation
Inventor: Ravi K. Sharma , Tomas Filler , Utkarsh Deshmukh , Vahid Sedighianaraki
Abstract: Aspects of the detailed technologies concern training and use of neural networks for fine-grained classification of large numbers of items, e.g., as may be encountered in a supermarket. Mitigating false positive errors is an exemplary area of emphasis. Novel network topologies are also detailed—some employing recognition technologies in addition to neural networks. A great number of other features and arrangements are also detailed.
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公开(公告)号:US20190266749A1
公开(公告)日:2019-08-29
申请号:US16141587
申请日:2018-09-25
Applicant: Digimarc Corporation
Inventor: Geoffrey B. Rhoads , Utkarsh Deshmukh , John D. Lord
Abstract: The geometric pose of a patch of watermark data is estimated based on the position of a similar, but non-identical, patch of information within a data structure. The information in the data structure corresponds to a tiled array of calibration patterns that is sampled along at least three non-parallel paths. In a particular embodiment, the calibration patterns are sampled so that edges are globally-curved, yet locally-flat. Use of such information in the data structure enables enhanced pose estimation, e.g., speeding up operation, enabling pose estimation from smaller patches of watermark signals, and/or enabling pose estimation from weaker watermark signals. A great variety of other features and arrangements are also detailed.
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