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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
申请人： Digimarc Corporation
发明人： Ravi K. Sharma , Brett A. Bradley , Yang Bai , Shankar Thagadur Shivappa , Ajith Kamath , Aparna Gurijala , Tomas Filler , David A. Cushman
IPC分类号： G10L19/00 , G10L19/018 , G10L19/02
CPC分类号： G10L19/018 , G10L19/02
摘要： 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：US20190302222A1
公开(公告)日：2019-10-03
申请号：US16377700
申请日：2019-04-08
申请人： Digimarc Corporation
摘要： Mobile device positioning employs various forms of audio signal structures and detection methodologies. In one method, detection of an audio signal from a first source enables construction of a signal to facilitate detection of an audio signal from another source. Signals detected from these sources enable positioning of the mobile device receiving those signals. Another method forms audio signals transmitted from audio sources so that they have parts that add constructively and parts that differentiate the sources to enable positioning. Another audio signal based positioning method adaptively switches among positioning methods so that positioning remains operative as a mobile device moves toward and away from the sources. Another method tracks positioning history, evaluates it for errors and performs error mitigation to improve accuracy. Various other positioning technologies are detailed as well.
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公开(公告)号：US20180211673A1
公开(公告)日：2018-07-26
申请号：US15848339
申请日：2017-12-20
申请人： Digimarc Corporation
发明人： Ravi K. Sharma , Brett A. Bradley , Yang Bai , Shankar Thagadur Shivappa , Ajith Kamath , Aparna Gurijala , Tomas Filler , David A. Cushman
IPC分类号： G10L19/018 , G10L19/02
CPC分类号： G10L19/018 , G10L19/02
摘要： 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：US09852736B2
公开(公告)日：2017-12-26
申请号：US15090279
申请日：2016-04-04
申请人： Digimarc Corporation
发明人： Ravi K. Sharma , Brett A. Bradley , Yang Bai , Shankar Thagadur Shivappa , Ajith Kamath , Aparna Gurijala , David A. Cushman
IPC分类号： G10L19/00 , G10L19/018 , G10L19/02
CPC分类号： G10L19/018 , G10L19/02
摘要： 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：US20170143249A1
公开(公告)日：2017-05-25
申请号：US15362446
申请日：2016-11-28
申请人： Digimarc Corporation
发明人： Bruce L. Davis , Tony F. Rodriguez , Alastair M. Reed , John Stach , Geoffrey B. Rhoads , William Y. Conwell , Shankar Thagadur Shivappa , Ravi K. Sharma , Richard F. Gibson
CPC分类号： A61B5/441 , A61B5/0075 , A61B5/0077 , A61B5/1032 , A61B5/1034 , A61B5/444 , A61B5/445 , A61B5/4806 , A61B5/6898 , A61B5/7246 , A61B5/7278 , A61B5/7282 , A61B5/7425 , A61B5/743 , A61B5/7485 , A61B2576/02 , G06F17/30424 , G06F17/30554 , G06F19/00 , G06F19/3418 , G06T5/40 , G06T7/0012 , G06T2207/30088 , G10L19/018 , G16H50/20 , G16H50/70 , Y02A90/26
摘要： Reference imagery of dermatological conditions is compiled in a crowd-sourced database (contributed by clinicians and/or the lay public), together with associated diagnosis information. A user later submits a query image to the system (e.g., captured with a smartphone). Image-based derivatives for the query image are determined (e.g., color histograms, FFT-based metrics, etc.), and are compared against similar derivatives computed from the reference imagery. This comparison identifies diseases that are not consistent with the query image, and such information is reported to the user. Depending on the size of the database, and the specificity of the data, 90% or more of candidate conditions may be effectively ruled-out, possibly sparing the user from expensive and painful biopsy procedures, and granting some peace of mind (e.g., knowledge that an emerging pattern of small lesions on a forearm is probably not caused by shingles, bedbugs, malaria or AIDS). A great number of other features and arrangements are also detailed.
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公开(公告)号：US11145317B1
公开(公告)日：2021-10-12
申请号：US16056160
申请日：2018-08-06
申请人： Digimarc Corporation
IPC分类号： G10L19/018 , G10L25/48 , G10L21/007 , G10L21/0208 , G10L19/26
摘要： A method for generating a psychoacoustic model from an audio signal transforms a block of samples of an audio signal into a frequency spectrum comprising frequency components. From this frequency spectrum, it derives group masking energies. These group masking energies each correspond to a group of neighboring frequency components in the frequency spectrum. For a group of frequency components, the method allocates the group masking energy to the frequency components in the group in proportion to energy of the frequency components within the group to provide adapted mask energies for the frequency components within the group, the adapted mask energies providing masking thresholds for the psychoacoustic model of the audio signal.
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7.发明申请公开(公告)号：US20180246696A1
公开(公告)日：2018-08-30
申请号：US15893127
申请日：2018-02-09
申请人： Digimarc Corporation
发明人： Ravi K. Sharma , Shankar Thagadur Shivappa , Osama M. Alattar , Brett A. Bradley , Scott M. Long , Ajith M. Kamath , Vojtech Holub , Hugh L. Brunk , Robert G. Lyons , Aparna R. Gurijala
CPC分类号： G06F3/165 , G10L19/018 , G10L19/0212 , G10L25/09 , G10L25/21
摘要： Methods and arrangements involving electronic devices, such as smartphones, tablet computers, wearable devices, etc., are disclosed. One arrangement involves a low-power processing technique for discerning cues from audio input. Another involves a technique for detecting audio activity based on the Kullback-Liebler divergence (KLD) (or a modified version thereof) of the audio input. Still other arrangements concern techniques for managing the manner in which policies are embodied on an electronic device. Others relate to distributed computing techniques. A great variety of other features are also detailed.
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公开(公告)号：US09412387B2
公开(公告)日：2016-08-09
申请号：US14748126
申请日：2015-06-23
申请人： Digimarc Corporation
IPC分类号： H04W4/02 , G10L19/018 , G01S5/22 , G08B25/10 , H04W4/04
CPC分类号： G01S5/22 , G08B25/10 , G10L19/018 , H04R29/007 , H04W4/021 , H04W4/023 , H04W4/043 , H04W4/33
摘要： An audio playback system receives digitally watermarked audio programming and distributes it to audio speakers in a venue, enabling a variety of location and product dependent services to be delivered to mobile devices in the venue. Mobile devices sense audio from speakers and decode digital identifying information, including characteristics to distinguish audio sources. The mobile device communicates with a networked computer to provide the identifying information, which in turn, triggers an alert for output on the mobile device.
摘要翻译： 音频播放系统接收数字水印的音频节目并将其分发到场地中的音频扬声器，使得能够将各种位置和产品相关服务递送到场地中的移动设备。 移动设备从扬声器检测音频并解码数字识别信息，包括区分音频源的特性。 移动设备与联网的计算机进行通信，以提供识别信息，该信息又触发在移动设备上输出的警报。
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9.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
申请人： Digimarc Corporation
发明人： Ravi K. Sharma , Brett A. Bradley , Yang Bai , Shankar Thagadur Shivappa , Ajith Kamath , Aparna Gurijala , Tomas Filler , David A. Cushman
IPC分类号： G10L19/018
CPC分类号： G10L19/018 , G10L19/02
摘要： 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.
摘要翻译： 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：US11604247B2
公开(公告)日：2023-03-14
申请号：US16377700
申请日：2019-04-08
申请人： Digimarc Corporation
IPC分类号： G01S5/18
摘要： Mobile device positioning employs various forms of audio signal structures and detection methodologies. In one method, detection of an audio signal from a first source enables construction of a signal to facilitate detection of an audio signal from another source. Signals detected from these sources enable positioning of the mobile device receiving those signals. Another method forms audio signals transmitted from audio sources so that they have parts that add constructively and parts that differentiate the sources to enable positioning. Another audio signal based positioning method adaptively switches among positioning methods so that positioning remains operative as a mobile device moves toward and away from the sources. Another method tracks positioning history, evaluates it for errors and performs error mitigation to improve accuracy. Various other positioning technologies are detailed as well.
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