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公开(公告)号：US20140148219A1
公开(公告)日：2014-05-29
申请号：US14058595
申请日：2013-10-21
Applicant: Digimarc Corporation
Inventor： Yang Bai
CPC classification number: H04N5/243 , G06K9/00302 , H04M1/0264 , H04N5/23219 , H04N5/2354
Abstract: A smartphone senses a user's emotional reaction to certain output (e.g., an output from a smartphone's attempt to read a barcode printed in a newspaper). The phone then tailors its operation based on the sensed reaction (e.g., it may turn on a torch to better illuminate the newspaper, or vary image processing or decoding parameters).
Abstract translation: 智能手机感知用户对某些输出的情绪反应（例如，智能电话尝试读取在报纸上打印的条形码的输出）。 然后，电话基于感测到的反应（例如，它可以打开火炬以更好地照亮报纸或改变图像处理或解码参数）来调整其操作。
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42.发明申请公开(公告)号：US20140142958A1
公开(公告)日：2014-05-22
申请号：US14054492
申请日：2013-10-15
Applicant: Digimarc Corporation
Inventor： Ravi K. Sharma , Brett A. Bradley , Yang Bai , Shankar Thagadur Shivappa , Ajith Kamath , Aparna Gurijala , Tomas Filler , David A. Cushman
IPC: G10L19/018
CPC classification number: G10L19/018 , G10L19/02
Abstract: Audio signal processing enhances audio watermark embedding and detecting processes. Audio signal processes include audio classification and adapting watermark embedding and detecting based on classification. Advances in audio watermark design include adaptive watermark signal structure data protocols, perceptual models, and insertion methods. Perceptual and robustness evaluation is integrated into audio watermark embedding to optimize audio quality relative the original signal, and to optimize robustness or data capacity. These methods are applied to audio segments in audio embedder and detector configurations to support real time operation. Feature extraction and matching are also used to adapt audio watermark embedding and detecting.
Abstract translation: 音频信号处理增强了音频水印嵌入和检测过程。 音频信号处理包括基于分类的音频分类和适应水印嵌入和检测。 音频水印设计的进步包括自适应水印信号结构数据协议，感知模型和插入方法。 感知和鲁棒性评估集成到音频水印嵌入中，以优化相对于原始信号的音频质量，并优化鲁棒性或数据容量。 这些方法适用于音频嵌入器和检测器配置中的音频段，以支持实时操作。 特征提取和匹配也用于适应音频水印嵌入和检测。
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公开(公告)号：US20240314252A1
公开(公告)日：2024-09-19
申请号：US18419322
申请日：2024-01-22
Applicant: Digimarc Corporation
Inventor： Yang Bai , Dean H. Chadwick , Jackson B. Bennett , Daniel T. Pinard
CPC classification number: H04N1/32251 , G06T1/0028 , H04N1/32309 , H04N1/6008 , G06T2201/0202
Abstract: The present disclosure relates generally to image signal processing, including encoding signals for image data or artwork. A color blend/print model is used to predict signal detectability and visibility as is printed on a particular substrate, which facilitates object grading prior to print runs.
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公开(公告)号：US11990143B2
公开(公告)日：2024-05-21
申请号：US17532884
申请日：2021-11-22
Applicant: Digimarc Corporation
Inventor： Ravi K. Sharma , Brett A. Bradley , Yang Bai , Shankar Thagadur Shivappa , Ajith Kamath , Aparna Gurijala , Tomas Filler , David A. Cushman
IPC: G10L19/00 , G10L19/018 , G10L19/02
CPC classification number: G10L19/018 , G10L19/02
Abstract: Audio signal processing enhances audio watermark embedding and detecting processes. Audio signal processes include audio classification and adapting watermark embedding and detecting based on classification. Advances in audio watermark design include adaptive watermark signal structure data protocols, perceptual models, and insertion methods. Perceptual and robustness evaluation is integrated into audio watermark embedding to optimize audio quality relative the original signal, and to optimize robustness or data capacity. These methods are applied to audio segments in audio embedder and detector configurations to support real time operation. Feature extraction and matching are also used to adapt audio watermark embedding and detecting.
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公开(公告)号：US11715172B2
公开(公告)日：2023-08-01
申请号：US17671431
申请日：2022-02-14
Applicant: Digimarc Corporation
Inventor： Vahid Sedighianaraki , Vojtech Holub , Yang Bai
CPC classification number: G06T1/0028 , G06K7/1408 , G06V10/50 , G06F2218/02 , G06K7/10722
Abstract: This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking. One combination disclosed in the description includes an image processing method. The method includes: obtaining an image comprising a plurality of color channels; for each color channel of the plurality of color channels, creating a grayscale version of the color channel and creating an inverted greyscale version of the color channel; analyzing the grayscale inverted version and the grayscale non-inverted version to locate image areas including an encoded signal, said analyzing yielding a plurality of image areas; generating one or more detectability measures corresponding to the encoded signal for each of the plurality of image areas; for each color channel selecting only one (1) image area as a validation point based on one or more generated detectability measures for that color channel; and generating information associated with a spatial location of each of the validation points in the image. Of course, other features and combinations are described as well.
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Patent Agency Ranking
公开(公告)号：US20210157998A1
公开(公告)日：2021-05-27
申请号：US17150801
申请日：2021-01-15
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US10902544B2
公开(公告)日：2021-01-26
申请号：US16132149
申请日：2018-09-14
Applicant: Digimarc Corporation
Inventor： Yang Bai , Eric D. Evans , Tomas Filler
Abstract: The disclosure relates to detecting digital watermarking from retail items such as from packaged items, containers, bottles, cans or boxes. One claim recites a method utilized at a retail checkout location comprising: receiving imagery representing a retail item from a digital camera, the retail item including digital watermarking encoded thereon, the retail item moving relative to the digital camera; determining a region in the imagery corresponding to at least one faster moving object relative to background imagery, said determining yielding a determined region; arranging digital watermark detection blocks over the determined region; and analyzing data representing imagery from within the digital watermark detection blocks to detect the digital watermarking. Of course other claims and combinations are also provided.
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公开(公告)号：US20200380226A1
公开(公告)日：2020-12-03
申请号：US16893856
申请日：2020-06-05
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US20200372228A1
公开(公告)日：2020-11-26
申请号：US16893834
申请日：2020-06-05
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Bruce L. Davis , Geoffrey B. Rhoads , John D. Lord , Alastair M. Reed , Eric D. Evans , Rebecca L. Gerlach , Yang Bai , John F. Stach , Tomas Filler , Marc G. Footen , Sean Calhoon , William Y. Conwell , Brian T. MacIntosh
IPC: G06K7/10 , G06K7/14 , G06K9/18 , G06K9/20 , G06K9/78 , G06Q30/00 , G07G1/00 , G06Q20/20 , G06K9/00 , G06Q10/08
Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.
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公开(公告)号：US10510349B2
公开(公告)日：2019-12-17
申请号：US16262634
申请日：2019-01-30
Applicant: Digimarc Corporation
Inventor： Tony F. Rodriguez , Yang Bai
IPC: G10L15/28 , G06T7/00 , G10L19/00 , G10L15/22 , 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.
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