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1. 发明授权

US08520075B2 Method and apparatus for reduced reference video quality measurement 有权
标题翻译：降低参考视频质量测量的方法和装置
公开(公告)号：US08520075B2
公开(公告)日：2013-08-27
申请号：US13151761
申请日：2011-06-02
申请人： Sitaram Bhagavathy , Jeffrey A Bloom , Dekun Zou , Ran Ding , Beibei Wang , Tao Liu , Niranjan Narvekar
发明人： Sitaram Bhagavathy , Jeffrey A Bloom , Dekun Zou , Ran Ding , Beibei Wang , Tao Liu , Niranjan Narvekar
IPC分类号： H04N17/00
CPC分类号： H04N17/004 , H04N19/132 , H04N19/154 , H04N19/172 , H04N19/40 , H04N19/86
摘要： Systems and methods of objective video quality measurement that employ a reduced-reference approach to video quality measurement. Such systems and methods of objective video quality measurement can extract information pertaining to one or more features of a target video whose perceptual quality is to be measured, extract information pertaining to one or more features of a reference video, and employ one or more prediction functions involving the target features and the reference features to provide a measurement of the perceptual quality of the target video.
摘要翻译：使用缩减参考方法进行视频质量测量的客观视频质量测量的系统和方法。客观视频质量测量的这种系统和方法可以提取关于感知质量要被测量的目标视频的一个或多个特征的信息，提取与参考视频的一个或多个特征有关的信息，并采用一个或多个预测函数涉及目标特征和参考特征以提供目标视频的感知质量的度量。

2. 发明授权

US08885050B2 Video quality monitoring 有权
标题翻译：视频质量监控
公开(公告)号：US08885050B2
公开(公告)日：2014-11-11
申请号：US13025558
申请日：2011-02-11
申请人： Beibei Wang , Dekun Zou , Ran Ding , Tao Liu , Sitaram Bhagavathy , Niranjan Narvekar , Jeffrey A. Bloom , Glenn L. Cash
发明人： Beibei Wang , Dekun Zou , Ran Ding , Tao Liu , Sitaram Bhagavathy , Niranjan Narvekar , Jeffrey A. Bloom , Glenn L. Cash
IPC分类号： H04N17/00
CPC分类号： H04N17/004
摘要： Systems and methods of perceptual quality monitoring of video information, communications, and entertainment that can estimate the perceptual quality of video with high accuracy, and can be used to produce quality scores that better correlate with subjective quality scores of an end user. The systems and methods of perceptual quality monitoring of video can generate, from an encoded input video bitstream, estimates of one or more quality parameters relating to the video, such as the coding bit rate parameter, the video frame rate parameter, and the packet loss rate parameter, and provide these video quality parameter estimates to a predetermined video quality estimation model. Because the estimates of the video quality parameters are generated from the encoded input video bitstream as it is being received, the systems and methods are suitable for use as QoE monitoring tools.
摘要翻译：视频信息，通信和娱乐的感知质量监控的系统和方法可以高精度地估计视频的感知质量，并且可以用于产生与最终用户的主观质量得分更好相关的质量分数。视频的感知质量监视的系统和方法可以从编码的输入视频比特流中产生与视频相关的一个或多个质量参数的估计，例如编码比特率参数，视频帧速率参数和分组丢失速率参数，并将这些视频质量参数估计提供给预定的视频质量估计模型。因为视频质量参数的估计在编码的输入视频比特流被接收时产生，所以系统和方法适合用作QoE监视工具。

3. 发明申请

US20120307074A1 METHOD AND APPARATUS FOR REDUCED REFERENCE VIDEO QUALITY MEASUREMENT 有权
标题翻译：减少参考视频质量测量的方法和装置
公开(公告)号：US20120307074A1
公开(公告)日：2012-12-06
申请号：US13151761
申请日：2011-06-02
申请人： Sitaram Bhagavathy , Jeffrey A. Bloom , Dekun Zou , Ran Ding , Beibei Wang , Tao Liu , Niranjan Narvekar
发明人： Sitaram Bhagavathy , Jeffrey A. Bloom , Dekun Zou , Ran Ding , Beibei Wang , Tao Liu , Niranjan Narvekar
IPC分类号： H04N17/00
CPC分类号： H04N17/004 , H04N19/132 , H04N19/154 , H04N19/172 , H04N19/40 , H04N19/86
摘要： Systems and methods of objective video quality measurement that employ a reduced-reference approach to video quality measurement. Such systems and methods of objective video quality measurement can extract information pertaining to one or more features of a target video whose perceptual quality is to be measured, extract information pertaining to one or more features of a reference video, and employ one or more prediction functions involving the target features and the reference features to provide a measurement of the perceptual quality of the target video.
摘要翻译：使用缩减参考方法进行视频质量测量的客观视频质量测量的系统和方法。客观视频质量测量的这种系统和方法可以提取关于感知质量要被测量的目标视频的一个或多个特征的信息，提取与参考视频的一个或多个特征有关的信息，并采用一个或多个预测函数涉及目标特征和参考特征以提供目标视频的感知质量的度量。

4. 发明申请

US20120206610A1 VIDEO QUALITY MONITORING 有权
标题翻译：视频质量监控
公开(公告)号：US20120206610A1
公开(公告)日：2012-08-16
申请号：US13025558
申请日：2011-02-11
申请人： Beibei Wang , Dekun Zou , Ran Ding , Tao Liu , Sitaram Bhagavathy , Niranjan Narvekar , Jeffrey A. Bloom , Glenn L. Cash
发明人： Beibei Wang , Dekun Zou , Ran Ding , Tao Liu , Sitaram Bhagavathy , Niranjan Narvekar , Jeffrey A. Bloom , Glenn L. Cash
IPC分类号： H04N17/00
CPC分类号： H04N17/004
摘要： Systems and methods of perceptual quality monitoring of video information, communications, and entertainment that can estimate the perceptual quality of video with high accuracy, and can be used to produce quality scores that better correlate with subjective quality scores of an end user. The systems and methods of perceptual quality monitoring of video can generate, from an encoded input video bitstream, estimates of one or more quality parameters relating to the video, such as the coding bit rate parameter, the video frame rate parameter, and the packet loss rate parameter, and provide these video quality parameter estimates to a predetermined video quality estimation model. Because the estimates of the video quality parameters are generated from the encoded input video bitstream as it is being received, the systems and methods are suitable for use as QoE monitoring tools.
摘要翻译：视频信息，通信和娱乐的感知质量监控的系统和方法可以高精度地估计视频的感知质量，并且可以用于产生与最终用户的主观质量得分更好相关的质量分数。视频的感知质量监视的系统和方法可以从编码的输入视频比特流中产生与视频相关的一个或多个质量参数的估计，例如编码比特率参数，视频帧速率参数和分组丢失速率参数，并将这些视频质量参数估计提供给预定的视频质量估计模型。因为视频质量参数的估计在编码的输入视频比特流被接收时产生，所以系统和方法适合用作QoE监视工具。

5. 发明申请

US20130027568A1 SUPPORT VECTOR REGRESSION BASED VIDEO QUALITY PREDICTION 有权
标题翻译：支持向量回归的视频质量预测
公开(公告)号：US20130027568A1
公开(公告)日：2013-01-31
申请号：US13193802
申请日：2011-07-29
申请人： Dekun Zou , Beibei Wang
发明人： Dekun Zou , Beibei Wang
IPC分类号： H04N17/00
CPC分类号： H04N7/50 , H04N17/004 , H04N19/172 , H04N19/61
摘要： Systems and methods of objective video quality measurement based on support vector machines. The video quality measurement systems can obtain information pertaining to features of a target training video, obtain corresponding information pertaining to features of a reference version of the target training video, and employ the target training features and/or the reference training features to build video quality models using such support vector machines. Based on the target training features and/or the reference training features used to build such video quality models, the video quality models can be made to conform more closely to the human visual system. Moreover, using such video quality models in conjunction with target features of a target video whose perceptual quality is to be measured, and/or reference features of a reference video, the video quality measurement systems can be employed to predict measurements of the perceptual quality of such a target video with increased accuracy.
摘要翻译：基于支持向量机的客观视频质量测量的系统和方法。视频质量测量系统可以获得关于目标训练视频的特征的信息，获得与目标训练视频的参考版本的特征相关的相关信息，并且使用目标训练特征和/或参考训练特征来构建视频质量使用这种支持向量机的模型。基于用于构建这样的视频质量模型的目标训练特征和/或参考训练特征，可以使视频质量模型更符合人类视觉系统。此外，使用这样的视频质量模型结合目标视频的感知质量要被测量的目标特征和/或参考视频的参考特征，可以采用视频质量测量系统来预测感知质量的测量这样的目标视频具有更高的准确性。

6. 发明授权

US08804815B2 Support vector regression based video quality prediction 有权
标题翻译：支持向量回归的视频质量预测
公开(公告)号：US08804815B2
公开(公告)日：2014-08-12
申请号：US13193802
申请日：2011-07-29
申请人： Dekun Zou , Beibei Wang
发明人： Dekun Zou , Beibei Wang
IPC分类号： H04N7/50 , H04N11/02 , H04N11/04 , H04B1/66 , H04N7/26
CPC分类号： H04N7/50 , H04N17/004 , H04N19/172 , H04N19/61
摘要： Systems and methods of objective video quality measurement based on support vector machines. The video quality measurement systems can obtain information pertaining to features of a target training video, obtain corresponding information pertaining to features of a reference version of the target training video, and employ the target training features and/or the reference training features to build video quality models using such support vector machines. Based on the target training features and/or the reference training features used to build such video quality models, the video quality models can be made to conform more closely to the human visual system. Moreover, using such video quality models in conjunction with target features of a target video whose perceptual quality is to be measured, and/or reference features of a reference video, the video quality measurement systems can be employed to predict measurements of the perceptual quality of such a target video with increased accuracy.
摘要翻译：基于支持向量机的客观视频质量测量的系统和方法。视频质量测量系统可以获得关于目标训练视频的特征的信息，获得与目标训练视频的参考版本的特征相关的相关信息，并且使用目标训练特征和/或参考训练特征来构建视频质量使用这种支持向量机的模型。基于用于构建这样的视频质量模型的目标训练特征和/或参考训练特征，可以使视频质量模型更符合人类视觉系统。此外，使用这样的视频质量模型结合目标视频的感知质量要被测量的目标特征和/或参考视频的参考特征，可以采用视频质量测量系统来预测感知质量的测量这样的目标视频具有更高的准确性。

7. 发明申请

US20220386945A1 METHOD, APPARATUS, AND SYSTEM FOR RADIO BASED SLEEP TRACKING 有权
公开(公告)号：US20220386945A1
公开(公告)日：2022-12-08
申请号：US17888429
申请日：2022-08-15
申请人： Chenshu Wu , Beibei Wang , Oscar Chi-Lim Au , Hung-Quoc Duc Lai , K. J. Ray Liu
发明人： Chenshu Wu , Beibei Wang , Oscar Chi-Lim Au , Hung-Quoc Duc Lai , K. J. Ray Liu
IPC分类号： A61B5/00 , A61B5/0507 , A61B5/11
摘要： Methods, apparatus and systems for radio-based sleep tracking are described. In one example, a described system comprises: a transmitter configured to transmit a first wireless signal through a wireless multipath channel in a venue; a receiver configured to receive a second wireless signal through the wireless multipath channel, wherein the second wireless signal differs from the first wireless signal due to the wireless multipath channel which is impacted by a sleeping motion of an object in the venue; and a processor. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, wherein each channel information (CI) of the TSCI comprises N1 components, wherein N1 is a positive integer larger than one, computing N1 component-wise analytics each associated with one of the N1 components of the TSCI, identifying N2 largest component-wise analytics among the N1 component-wise analytics, wherein N2 is a positive integer less than N1 computing at least one first motion statistics based on the N2 largest component-wise analytics of the TSCI, and monitoring the sleeping motion of the object based on the at least one first motion statistics.

8. 发明授权

US11500057B2 Method, apparatus, and system for wirelessly tracking keystrokes 有权
公开(公告)号：US11500057B2
公开(公告)日：2022-11-15
申请号：US17214836
申请日：2021-03-27
申请人： Yuqian Hu , Beibei Wang , Chenshu Wu , K. J. Ray Liu , Oscar Chi-Lim Au
发明人： Yuqian Hu , Beibei Wang , Chenshu Wu , K. J. Ray Liu , Oscar Chi-Lim Au
IPC分类号： G01S7/00 , G01S13/00 , G01S13/56 , G01S7/41 , H04W84/18
摘要： Methods, apparatus and systems for wirelessly tracking keystrokes on a surface are described. In one example, a described system comprises: a transmitter configured for transmitting, using a transmit antenna, a first wireless signal through a wireless channel of a venue including the surface; a receiver configured for receiving, using a plurality of receive antennas, a second wireless signal through the wireless channel, wherein the second wireless signal comprises a reflection of the first wireless signal by at least one moving object in the venue; and a processor. The processor is configured for: obtaining, regarding each receive antenna, a time series of channel information (CI) of the wireless channel based on the second wireless signal, detecting at least one keystroke on the surface based on the time series of CI (TSCI) obtained regarding each receive antenna, determining at least one location of the at least one keystroke on the surface, and determining at least one key associated with the at least one keystroke based on the at least one location.

9. 发明授权

US11448728B2 Method, apparatus, and system for sound sensing based on wireless signals 有权
公开(公告)号：US11448728B2
公开(公告)日：2022-09-20
申请号：US17492598
申请日：2021-10-02
申请人： Muhammed Zahid Ozturk , Chenshu Wu , Beibei Wang , K. J. Ray Liu , Oscar Chi-Lim Au
发明人： Muhammed Zahid Ozturk , Chenshu Wu , Beibei Wang , K. J. Ray Liu , Oscar Chi-Lim Au
IPC分类号： G01S7/41 , G01S7/288 , H04W4/021 , G01S13/00 , G01S13/34 , G01S13/46
摘要： Methods, apparatus and systems for sound sensing based on radio signals are described. In one example, a described system comprises: a transmitter configured to transmit a first wireless signal through a wireless channel of a venue; a receiver configured to receive a second wireless signal through the wireless channel, wherein the second wireless signal comprises a reflection of the first wireless signal by at least one object in the venue; and a processor. The processor is configured for: obtaining a time series of channel information (CI) of the wireless channel based on the second wireless signal, determining a presence of a vibrating object in the venue based on the time series of CI (TSCI), extracting a sound signal from the TSCI, and reconstructing at least one speech based on the sound signal.

10. 发明授权

US11181486B2 Method, apparatus, and system for wireless material sensing 有权
公开(公告)号：US11181486B2
公开(公告)日：2021-11-23
申请号：US17180760
申请日：2021-02-20
申请人： Chenshu Wu , Beibei Wang , Oscar Chi-Lim Au , Feng Zhang , K. J. Ray Liu
发明人： Chenshu Wu , Beibei Wang , Oscar Chi-Lim Au , Feng Zhang , K. J. Ray Liu
IPC分类号： G01N22/00 , G01S7/41 , G01S13/88 , G01S13/00
摘要： Methods, apparatus and systems for wireless material sensing are described. In one example, a described system comprises: a transmitter configured for transmitting, using transmit antennas, a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving, using receive antennas, a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal comprises a reflection or a refraction of the first wireless signal at a surface of a target material of an object in the venue. The processor is configured for: obtaining a plurality of channel information (CI) of the wireless multipath channel based on the second wireless signal, wherein each CI is associated with a respective transmit antenna and a respective receive antenna; computing a material analytics based on the plurality of CI; and determining a type of the target material of the object based on the material analytics.

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