会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Echo canceller and echo cancellation method
    • 回波消除器和回波消除方法
    • US09282195B2
    • 2016-03-08
    • US14368953
    • 2012-03-15
    • Tao XueTao SunDongmei LiuJinjun WangQi ZhangXia Wang
    • Tao XueTao SunDongmei LiuJinjun WangQi ZhangXia Wang
    • H04M1/00H04M9/08G10K11/16
    • H04M9/082G10K11/16
    • An echo canceller and an echo cancellation method are provided. The echo canceller includes a self-adaptive filter, a voice signal detection portion and a path change detection portion; a far-end voice signal is propagated in an echo path through a speaker and is picked up by a microphone to form an echo signal. The self-adaptive filter is configured to receive the far-end voice signal as a training signal to simulate the echo path, and cancel the echo signal in a near-end signal. The voice signal detection portion is configured to detect a communication status, control the self-adaptive filter according to the communication status, and control startup of the path change detection portion according to the communication status. The path change detection portion is configured to detect whether a change occurs on the echo path, and control the self-adaptive filter according to whether the change occurs on the echo path.
    • 提供回声消除器和回声消除方法。 回波消除器包括自适应滤波器,语音信号检测部分和路径变化检测部分; 远端语音信号通过扬声器在回波路径中传播,并由麦克风拾取以形成回波信号。 自适应滤波器被配置为接收远端语音信号作为训练信号以模拟回波路径,并且消除近端信号中的回波信号。 语音信号检测部被配置为检测通信状态,根据通信状态来控制自适应滤波器,并且根据通信状态来控制路径变化检测部的启动。 路径变化检测部被配置为检测在回波路径上是否发生变化,并且根据在回波路径上是否发生变化来控制自适应滤波器。
    • 2. 发明申请
    • ECHO CANCELLER AND ECHO CANCELLATION METHOD
    • ECHO CANCELLER和ECHO CANCELLATION方法
    • US20140329568A1
    • 2014-11-06
    • US14368953
    • 2012-03-15
    • Tao XueTao SunDongmei LiuJinjun WangQi ZhangXia Wang
    • Tao XueTao SunDongmei LiuJinjun WangQi ZhangXia Wang
    • H04M9/08G10K11/16
    • H04M9/082G10K11/16
    • An echo canceller and an echo cancellation method are provided. The echo canceller includes a self-adaptive filter, a voice signal detection portion and a path change detection portion; a far-end voice signal is propagated in an echo path through a speaker and is picked up by a microphone to form an echo signal. The self-adaptive filter is configured to receive the far-end voice signal as a training signal to simulate the echo path, and cancel the echo signal in a near-end signal. The voice signal detection portion is configured to detect a communication status, control the self-adaptive filter according to the communication status, and control startup of the path change detection portion according to the communication status. The path change detection portion is configured to detect whether a change occurs on the echo path, and control the self-adaptive filter according to whether the change occurs on the echo path.
    • 提供回声消除器和回声消除方法。 回波消除器包括自适应滤波器,语音信号检测部分和路径变化检测部分; 远端语音信号通过扬声器在回波路径中传播,并由麦克风拾取以形成回波信号。 自适应滤波器被配置为接收远端语音信号作为训练信号以模拟回波路径,并且消除近端信号中的回波信号。 语音信号检测部被配置为检测通信状态,根据通信状态来控制自适应滤波器,并且根据通信状态来控制路径变化检测部的启动。 路径变化检测部被配置为检测在回波路径上是否发生变化,并且根据在回波路径上是否发生变化来控制自适应滤波器。
    • 4. 发明申请
    • Substructure and Boundary Modeling for Continuous Action Recognition
    • 连续动作识别的子结构和边界建模
    • US20130132316A1
    • 2013-05-23
    • US13491108
    • 2012-06-07
    • Jinjun WangZhaowen WangJing Xiao
    • Jinjun WangZhaowen WangJing Xiao
    • G06N5/02
    • G06N99/005
    • Embodiments of the present invention include systems and methods for improved state space modeling (SSM) comprising two added layers to model the substructure transition dynamics and action duration distribution. In embodiments, the first layer represents a substructure transition model that encodes the sparse and global temporal transition probability. In embodiments, the second layer models the action boundary characteristics by injecting discriminative information into a logistic duration model such that transition boundaries between successive actions can be located more accurately; thus, the second layer exploits discriminative information to discover action boundaries adaptively.
    • 本发明的实施例包括用于改进状态空间建模(SSM)的系统和方法,所述状态空间建模(SSM)包括两个附加的层,以模拟子结构转变动力学和动作持续时间分布。 在实施例中,第一层表示编码稀疏和全局时间转移概率的子结构转换模型。 在实施例中,第二层通过将识别信息注入逻辑持续时间模型来建模动作边界特征,使得可以更准确地定位连续动作之间的转移边界; 因此,第二层利用辨别信息自动发现行动界限。
    • 5. 发明申请
    • Embedded Optical Flow Features
    • 嵌入式光流特性
    • US20120219213A1
    • 2012-08-30
    • US13405986
    • 2012-02-27
    • Jinjun WangJing Xiao
    • Jinjun WangJing Xiao
    • G06K9/48G06K9/62
    • G06K9/00765G06K9/00335G06K9/6297
    • Aspects of the present invention include systems and methods for generating an optical flow-based feature. In embodiments, to extract an optical flow feature, the optical flow at sparse interest points is obtained, and Locality-constrained Linear Coding (LLC) is applied to the sparse interest points to embed each flow into a higher-dimensional code. In embodiments, for an image frame, the multiple codes are combined together using a weighted pooling that is related to the distribution of the optical flows in the image frame. In embodiments, the feature may be used in training models to detect actions, in trained models for action detection, or both.
    • 本发明的方面包括用于产生基于光流的特征的系统和方法。 在实施例中,为了提取光流特征,获得稀疏兴趣点处的光流,并将局部约束线性编码(LLC)应用于稀疏兴趣点以将每个流嵌入更高维码中。 在实施例中,对于图像帧,使用与图像帧中的光流的分布相关的加权池来将多个代码组合在一起。 在实施例中,可以在训练模型中使用该特征以在用于动作检测的训练模型中或两者中检测动作。
    • 6. 发明授权
    • Embedded optical flow features
    • 嵌入式光流特征
    • US08774499B2
    • 2014-07-08
    • US13405986
    • 2012-02-27
    • Jinjun WangJing Xiao
    • Jinjun WangJing Xiao
    • G06K9/00
    • G06K9/00765G06K9/00335G06K9/6297
    • Aspects of the present invention include systems and methods for generating an optical flow-based feature. In embodiments, to extract an optical flow feature, the optical flow at sparse interest points is obtained, and Locality-constrained Linear Coding (LLC) is applied to the sparse interest points to embed each flow into a higher-dimensional code. In embodiments, for an image frame, the multiple codes are combined together using a weighted pooling that is related to the distribution of the optical flows in the image frame. In embodiments, the feature may be used in training models to detect actions, in trained models for action detection, or both.
    • 本发明的方面包括用于产生基于光流的特征的系统和方法。 在实施例中,为了提取光流特征,获得稀疏兴趣点处的光流,并将局部约束线性编码(LLC)应用于稀疏兴趣点以将每个流嵌入更高维码中。 在实施例中,对于图像帧,使用与图像帧中的光流的分布相关的加权池来将多个代码组合在一起。 在实施例中,可以在训练模型中使用该特征以在用于动作检测的训练模型中或两者中检测动作。