专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

11. 发明申请

US20120083286A1 MOBILE DEVICE LOCATION ESTIMATION USING ENVIRONMENTAL INFORMATION 有权
标题翻译：使用环境信息的移动设备位置估计
公开(公告)号：US20120083286A1
公开(公告)日：2012-04-05
申请号：US12898647
申请日：2010-10-05
申请人： Taesu Kim , Kisun You , Te-Won Lee
发明人： Taesu Kim , Kisun You , Te-Won Lee
IPC分类号： H04W64/00
CPC分类号： H04W4/043 , G01S5/0036 , G01S5/18 , G06Q30/0261 , G06Q30/0267 , H04W4/70
摘要： Estimating a location of a mobile device is performed by comparing environmental information, such as environmental sound, associated with the mobile device with that of other devices to determine if the environmental information is similar enough to conclude that the mobile device is in a comparable location as another device. The devices may be in comparable locations in that they are in geographically similar locations (e.g., same store, same street, same city, etc.). The devices may be in comparable locations even though they are located in geographically dissimilar locations because the environmental information of the two locations demonstrates that the devices are in the same perceived location. With knowledge that the devices are in comparable locations, and with knowledge of the location of one of the devices, certain actions, such as targeted advertising, may be taken with respect to another device that is within a comparable location.
摘要翻译：通过将与移动设备相关联的环境信息与其他设备的环境信息进行比较来确定移动设备的位置是否足够相似，以确定移动设备处于可比较的位置，从而估计移动设备的位置另一个设备。这些设备可以在可比较的位置，因为它们在地理上相似的位置（例如，相同的商店，相同的街道，相同的城市等）。即使这些设备位于地理位置不同的位置，设备也可处于可比较的位置，因为两个位置的环境信息表明设备处于相同的感知位置。知道设备处于可比较的位置，并且了解设备之一的位置，可以针对在可比较的位置内的另一设备采取诸如定向广告的某些动作。

12. 发明申请

US20120092329A1 TEXT-BASED 3D AUGMENTED REALITY 审中-公开
标题翻译：基于文本的3D增强现实
公开(公告)号：US20120092329A1
公开(公告)日：2012-04-19
申请号：US13170758
申请日：2011-06-28
申请人： Hyung-Il Koo , Te-Won Lee , Kisun You , Young-Ki Baik
发明人： Hyung-Il Koo , Te-Won Lee , Kisun You , Young-Ki Baik
IPC分类号： G09G5/00 , G06T15/00
CPC分类号： G06K9/3258 , G06K9/00671 , G06K2209/01 , G06T19/006
摘要： A particular method includes receiving image data from an image capture device and detecting text within the image data. In response to detecting the text, augmented image data is generated that includes at least one augmented reality feature associated with the text.
摘要翻译：特定的方法包括从图像捕获装置接收图像数据并检测图像数据内的文本。响应于检测到文本，生成包括与文本相关联的至少一个增强现实特征的增强图像数据。

13. 发明授权

US08665338B2 Blurred image detection for text recognition 失效
标题翻译：模糊图像检测用于文本识别
公开(公告)号：US08665338B2
公开(公告)日：2014-03-04
申请号：US13039875
申请日：2011-03-03
申请人： Hyung-Il Koo , Taesu Kim , Ki-Hyun Kim , Te-Won Lee
发明人： Hyung-Il Koo , Taesu Kim , Ki-Hyun Kim , Te-Won Lee
IPC分类号： H04N5/228
CPC分类号： G06K9/22 , G06K9/325 , G06K2209/01 , H04N5/23267 , H04N5/2327
摘要： Techniques are described for identifying blurred images and recognizing text. One or more images of text may be captured. A change of movement associated with each image of the one or more images may be calculated. The change of movement associated with an image of the one or more images represents a change in an amount of acceleration of the device used to capture the image while the image was being captured. A steady image may be selected from the one or more images to use for text recognition. The steady image can be selected using the variances of acceleration associated with each image of the one or more images.
摘要翻译：描述了识别模糊图像和识别文本的技术。可以捕获一个或多个文本图像。可以计算与一个或多个图像的每个图像相关联的移动变化。与一个或多个图像的图像相关联的运动的变化表示在拍摄图像时用于捕获图像的装置的加速度的变化。可以从用于文本识别的一个或多个图像中选择稳定的图像。可以使用与一个或多个图像的每个图像相关联的加速度的方差来选择稳定图像。

14. 发明申请

US20120224707A1 METHOD AND APPARATUS FOR IDENTIFYING MOBILE DEVICES IN SIMILAR SOUND ENVIRONMENT 有权
标题翻译：用于识别类似声环境中移动设备的方法和装置
公开(公告)号：US20120224707A1
公开(公告)日：2012-09-06
申请号：US13370668
申请日：2012-02-10
申请人： TAESU KIM , Te-Won Lee
发明人： TAESU KIM , Te-Won Lee
IPC分类号： H04R29/00
CPC分类号： H04L67/18 , H04W4/023 , H04W4/043 , H04W4/08 , H04W4/21
摘要： A method for identifying mobile devices in a similar sound environment is disclosed. Each of at least two mobile devices captures an input sound and extracts a sound signature from the input sound. Further, the mobile device extracts a sound feature from the input sound and determines a reliability value based on the sound feature. The reliability value may refer to a probability of a normal sound class given the sound feature. A server receives a packet including the sound signatures and reliability values from the mobile devices. A similarity value between sound signatures from a pair of the mobile devices is determined based on corresponding reliability values from the pair of mobile devices. Specifically, the sound signatures are weighted by the corresponding reliability values. The server identifies mobile devices in a similar sound environment based on the similarity values.
摘要翻译：公开了一种用于识别类似声音环境中的移动设备的方法。至少两个移动设备中的每一个捕获输入声音并从输入声音提取声音签名。此外，移动设备从输入声音提取声音特征，并且基于声音特征确定可靠性值。可靠性值可以指给定声音特征的正常声级的概率。服务器从移动设备接收包括声音签名和可靠性值的数据包。来自一对移动设备的声音签名之间的相似性值是基于来自该对移动设备的相应的可靠性值确定的。具体地说，声音特征被相应的可靠性值加权。服务器基于相似性值识别类似声音环境中的移动设备。

15. 发明申请

US20120224072A1 BLURRED IMAGE DETECTION FOR TEXT RECOGNITION 失效
标题翻译：用于文本识别的图像检测
公开(公告)号：US20120224072A1
公开(公告)日：2012-09-06
申请号：US13039875
申请日：2011-03-03
申请人： Hyung-II Koo , Taesu Kim , Ki-Hyun Kim , Te-Won Lee
发明人： Hyung-II Koo , Taesu Kim , Ki-Hyun Kim , Te-Won Lee
IPC分类号： H04N5/228
CPC分类号： G06K9/22 , G06K9/325 , G06K2209/01 , H04N5/23267 , H04N5/2327
摘要： Techniques are described for identifying blurred images and recognizing text. One or more images of text may be captured. A change of movement associated with each image of the one or more images may be calculated. The change of movement associated with an image of the one or more images represents a change in an amount of acceleration of the device used to capture the image while the image was being captured. A steady image may be selected from the one or more images to use for text recognition. The steady image can be selected using the variances of acceleration associated with each image of the one or more images.
摘要翻译：描述了识别模糊图像和识别文本的技术。可以捕获一个或多个文本图像。可以计算与一个或多个图像的每个图像相关联的移动变化。与一个或多个图像的图像相关联的运动的变化表示在拍摄图像时用于捕获图像的装置的加速度的变化。可以从用于文本识别的一个或多个图像中选择稳定的图像。可以使用与一个或多个图像的每个图像相关联的加速度的方差来选择稳定图像。

16. 发明申请

US20090222262A1 Systems And Methods For Blind Source Signal Separation 有权
标题翻译：盲源信号分离系统与方法
公开(公告)号：US20090222262A1
公开(公告)日：2009-09-03
申请号：US12281298
申请日：2006-03-01
申请人： Taesu Kim , Te-Won Lee
发明人： Taesu Kim , Te-Won Lee
IPC分类号： G10L15/02 , G10L11/00
CPC分类号： G10L21/0272 , G10L25/84
摘要： Signal separation techniques based on frequency dependency are described. In one implementation, a blind signal separation process is provided that avoids the permutation problem of previous signal separation processes. In the process, two or more signal sources are provided, with each signal source having recognized frequency dependencies. The process uses these inter-frequency dependencies to more robustly separate the source signals. The process receives a set of mixed signal input signals, and samples each input signal using a rolling window process. The sampled data is transformed into the frequency domain, which provides channel inputs to the inter-frequency dependent separation process. Since frequency dependencies have been defined for each source, the process is able to use the frequency dependency to more accurately separate the signals. The process can use a learning algorithm that preserves frequency dependencies within each source signal, and can remove dependencies between or among the signal sources.
摘要翻译：描述了基于频率依赖性的信号分离技术。在一个实现中，提供了一种盲信号分离过程，其避免了先前信号分离过程的置换问题。在该过程中，提供两个或更多个信号源，每个信号源具有已识别的频率依赖性。该过程使用这些频率间依赖性来更鲁棒地分离源信号。该过程接收一组混合信号输入信号，并使用滚动窗口进程对每个输入信号进行采样。采样数据被转换成频域，其向频率间依赖分离过程提供信道输入。由于为每个源定义了频率相关性，因此该过程能够使用频率依赖性来更准确地分离信号。该过程可以使用保持每个源信号内的频率依赖性的学习算法，并且可以消除信号源之间或之间的依赖关系。

17. 发明授权

US09143571B2 Method and apparatus for identifying mobile devices in similar sound environment 有权
标题翻译：用于识别类似声音环境中的移动设备的方法和装置
公开(公告)号：US09143571B2
公开(公告)日：2015-09-22
申请号：US13370668
申请日：2012-02-10
申请人： Taesu Kim , Te-Won Lee
发明人： Taesu Kim , Te-Won Lee
IPC分类号： G06F17/00 , H04L29/08 , H04W4/02 , H04W4/20 , H04W4/04 , H04W4/08
CPC分类号： H04L67/18 , H04W4/023 , H04W4/043 , H04W4/08 , H04W4/21
摘要： A method for identifying mobile devices in a similar sound environment is disclosed. Each of at least two mobile devices captures an input sound and extracts a sound signature from the input sound. Further, the mobile device extracts a sound feature from the input sound and determines a reliability value based on the sound feature. The reliability value may refer to a probability of a normal sound class given the sound feature. A server receives a packet including the sound signatures and reliability values from the mobile devices. A similarity value between sound signatures from a pair of the mobile devices is determined based on corresponding reliability values from the pair of mobile devices. Specifically, the sound signatures are weighted by the corresponding reliability values. The server identifies mobile devices in a similar sound environment based on the similarity values.
摘要翻译：公开了一种用于识别类似声音环境中的移动设备的方法。至少两个移动设备中的每一个捕获输入声音并从输入声音提取声音签名。此外，移动设备从输入声音提取声音特征，并且基于声音特征确定可靠性值。可靠性值可以指给定声音特征的正常声级的概率。服务器从移动设备接收包括声音签名和可靠性值的数据包。来自一对移动设备的声音签名之间的相似性值是基于来自该对移动设备的相应的可靠性值确定的。具体地说，声音特征被相应的可靠性值加权。服务器基于相似性值识别类似声音环境中的移动设备。

18. 发明授权

US08874439B2 Systems and methods for blind source signal separation 有权
标题翻译：盲源信号分离的系统和方法
公开(公告)号：US08874439B2
公开(公告)日：2014-10-28
申请号：US12281298
申请日：2006-03-01
申请人： Taesu Kim , Te-Won Lee
发明人： Taesu Kim , Te-Won Lee
IPC分类号： G10L21/02 , G10L21/0272 , G10L25/84
CPC分类号： G10L21/0272 , G10L25/84
摘要： Signal separation techniques based on frequency dependency are described. In one implementation, a blind signal separation process is provided that avoids the permutation problem of previous signal separation processes. In the process, two or more signal sources are provided, with each signal source having recognized frequency dependencies. The process uses these inter-frequency dependencies to more robustly separate the source signals. The process receives a set of mixed signal input signals, and samples each input signal using a rolling window process. The sampled data is transformed into the frequency domain, which provides channel inputs to the inter-frequency dependent separation process. Since frequency dependencies have been defined for each source, the process is able to use the frequency dependency to more accurately separate the signals. The process can use a learning algorithm that preserves frequency dependencies within each source signal, and can remove dependencies between or among the signal sources.
摘要翻译：描述了基于频率依赖性的信号分离技术。在一个实现中，提供了一种盲信号分离过程，其避免了先前信号分离过程的置换问题。在该过程中，提供两个或更多个信号源，每个信号源具有已识别的频率依赖性。该过程使用这些频率间依赖性来更鲁棒地分离源信号。该过程接收一组混合信号输入信号，并使用滚动窗口进程对每个输入信号进行采样。采样数据被转换成频域，其向频率间依赖分离过程提供信道输入。由于为每个源定义了频率相关性，因此该过程能够使用频率依赖性来更准确地分离信号。该过程可以使用保持每个源信号内的频率依赖性的学习算法，并且可以消除信号源之间或之间的依赖关系。

19. 发明授权

US07383178B2 System and method for speech processing using independent component analysis under stability constraints 有权
标题翻译：在稳定性约束下使用独立分量分析的语音处理系统和方法
公开(公告)号：US07383178B2
公开(公告)日：2008-06-03
申请号：US10537985
申请日：2003-12-11
申请人： Erik Visser , Te-Won Lee
发明人： Erik Visser , Te-Won Lee
IPC分类号： G10L21/02
CPC分类号： G10L21/0272
摘要： A system and method for separating a mixture of audio signal into desired audio signals (430) (e.g., speech) and a noise sign (440) is disclosed. Microphones (310, 320) are positioned to receive the mixed audio signals, and an independent component analysis (ICA) processes (212) the sound mixture using stability constraints. The ICA process (508) uses predefined characteristics of the desired speech signal to identify and isolate a target sound signal (430). Filter coefficients are adapted with a learning rule and filter weight update dynamics are stabilized to assist convergence to a stable separated ICA signal result. The separated signals may be peripherally-processed to further reduce noise effects using post-processing (214) and pre-processing (220, 230) techniques and information. The proposed system is designed and easily adaptable for implementation on DSP units or CPUs in audio communication hardware environments.
摘要翻译：公开了一种用于将音频信号的混合分离成所需音频信号（430）（例如语音）和噪声信号（440）的系统和方法。麦克风（310,320）被定位成接收混合音频信号，并且独立分量分析（ICA）使用稳定性约束来处理（212）声音混合。 ICA处理（508）使用所需语音信号的预定特征来识别和隔离目标声音信号（430）。滤波器系数适应于学习规则，并且滤波器权重更新动态被稳定以辅助收敛到稳定的分离的ICA信号结果。可以对分离的信号进行外围处理，以进一步减少使用后处理（214）和预处理（220,230）技术和信息的噪声影响。所提出的系统设计和易于适应于在音频通信硬件环境中的DSP单元或CPU上的实现。

20. 发明授权

US07366662B2 Separation of target acoustic signals in a multi-transducer arrangement 有权
标题翻译：在多换能器布置中分离目标声信号
公开(公告)号：US07366662B2
公开(公告)日：2008-04-29
申请号：US11463376
申请日：2006-08-09
申请人： Erik Visser , Te-Won Lee
发明人： Erik Visser , Te-Won Lee
IPC分类号： G10L21/02
CPC分类号： H04R3/005 , G10L21/0208 , G10L21/0272 , G10L2021/02161 , G10L2021/02165 , H04R2430/25
摘要： The present invention provides a process for separating a good quality information signal from a noisy acoustic environment. The separation process uses a set of at least two spaced-apart transducers to capture noise and information components. The transducer signals, which have both a noise and information component, are received into a separation process. The separation process generates one channel that is substantially only noise, and another channel that is a combination of noise and information. An identification process is used to identify which channel has the information component. The noise signal is then used to set process characteristics that are applied to the combination signal to efficiently reduce or eliminate the noise component. In this way, the noise is effectively removed from the combination signal to generate a good qualify information signal. The information signal may be, for example, a speech signal, a seismic signal, a sonar signal, or other acoustic signal.
摘要翻译：本发明提供了一种用于从良好的声学环境中分离出良好质量信息信号的方法。分离过程使用一组至少两个间隔开的传感器来捕获噪声和信息分量。具有噪声和信息分量的换能器信号被接收到分离过程中。分离过程产生基本上只有噪声的一个信道，以及作为噪声和信息的组合的另一个信道。使用识别过程来识别哪个信道具有信息分量。然后使用噪声信号来设置施加到组合信号的处理特性，以有效地减少或消除噪声分量。以这种方式，有效地从组合信号中去除噪声以产生良好的限定信息信号。信息信号可以是例如语音信号，地震信号，声纳信号或其他声信号。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式