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    • 1. 发明授权
    • Program endpoint time detection apparatus and method, and program information retrieval system
    • 程序端点时间检测装置和方法,以及程序信息检索系统
    • US09009054B2
    • 2015-04-14
    • US12914346
    • 2010-10-28
    • Kun LiuWeiguo WuLi LuQingwei ZhaoYonghong YanHongbin Suo
    • Kun LiuWeiguo WuLi LuQingwei ZhaoYonghong YanHongbin Suo
    • G10L21/00G10L11/06G06F17/30
    • G06F17/30743G06F17/30749
    • This invention relates to retrieval for multimedia content, and provides a program endpoint time detection apparatus for detecting an endpoint time of a program by performing processing on audio signals of said program, comprising an audio classification unit for classifying said audio signals into a speech signal portion and a non-speech signal portion; a keyword retrieval unit for retrieving, as a candidate endpoint keyword, an endpoint keyword indicating start or end of the program from said speech signal portion; a content analysis unit for performing content analysis on context of the candidate endpoint keyword retrieved by the keyword retrieval unit to determine whether the candidate endpoint keyword is a valid endpoint keyword; and a program endpoint time determination unit for performing statistics analysis based on the retrieval result of said keyword retrieval unit and the determination result of said content analysis unit, and determining the endpoint time of the program. In addition, this invention also provides a program information retrieval system. With present invention, program information regarding a program attended by user can be rapidly obtained.
    • 本发明涉及用于多媒体内容的检索,并提供一种程序端点时间检测装置,用于通过对所述节目的音频信号执行处理来检测节目的终点时间,包括用于将所述音频信号分类成语音信号部分的音频分类单元 和非语音信号部分; 关键词检索单元,用于从所述语音信号部分检索表示节目开始或结束的终点关键字作为候选终点关键词; 内容分析单元,用于对关键词检索单元检索到的候选端点关键字的上下文进行内容分析,以确定候选端点关键字是否是有效的端点关键字; 以及程序端点时间确定单元,用于基于所述关键词检索单元的检索结果和所述内容分析单元的确定结果执行统计分析,以及确定程序的终点时间。 此外,本发明还提供了一种节目信息检索系统。 通过本发明,可以快速获得关于用户所关注的节目的节目信息。
    • 2. 发明申请
    • PROGRAM ENDPOINT TIME DETECTION APPARATUS AND METHOD, AND PROGRAM INFORMATION RETRIEVAL SYSTEM
    • 程序端点时间检测装置和方法以及程序信息检索系统
    • US20110106531A1
    • 2011-05-05
    • US12914346
    • 2010-10-28
    • Kun LIUWeiguo WuLi LuQingwei ZhaoYonghong YanHongbin Suo
    • Kun LIUWeiguo WuLi LuQingwei ZhaoYonghong YanHongbin Suo
    • G10L11/06
    • G06F17/30743G06F17/30749
    • This invention relates to retrieval for multimedia content, and provides a program endpoint time detection apparatus for detecting an endpoint time of a program by performing processing on audio signals of said program, comprising an audio classification unit for classifying said audio signals into a speech signal portion and a non-speech signal portion; a keyword retrieval unit for retrieving, as a candidate endpoint keyword, an endpoint keyword indicating start or end of the program from said speech signal portion; a content analysis unit for performing content analysis on context of the candidate endpoint keyword retrieved by the keyword retrieval unit to determine whether the candidate endpoint keyword is a valid endpoint keyword; and a program endpoint time determination unit for performing statistics analysis based on the retrieval result of said keyword retrieval unit and the determination result of said content analysis unit, and determining the endpoint time of the program. In addition, this invention also provides a program information retrieval system. With present invention, program information regarding a program attended by user can be rapidly obtained.
    • 本发明涉及用于多媒体内容的检索,并提供一种程序端点时间检测装置,用于通过对所述节目的音频信号执行处理来检测节目的终点时间,包括用于将所述音频信号分类成语音信号部分的音频分类单元 和非语音信号部分; 关键词检索单元,用于从所述语音信号部分检索表示节目开始或结束的终点关键字作为候选终点关键词; 内容分析单元,用于对关键词检索单元检索到的候选端点关键字的上下文进行内容分析,以确定候选端点关键字是否是有效的端点关键字; 以及程序端点时间确定单元,用于基于所述关键词检索单元的检索结果和所述内容分析单元的确定结果执行统计分析,以及确定程序的终点时间。 此外,本发明还提供了一种节目信息检索系统。 通过本发明,可以快速获得关于用户所关注的节目的节目信息。
    • 6. 发明授权
    • Three dimensional human pose recognition method and apparatus
    • 三维人体姿态识别方法及装置
    • US08611611B2
    • 2013-12-17
    • US13223593
    • 2011-09-01
    • Liang LiWeiguo Wu
    • Liang LiWeiguo Wu
    • G06K9/00
    • G06K9/00369G06K9/00342
    • The present invention discloses a three dimensional human pose recognition method and apparatus, where the three dimensional human pose recognition method includes steps of: a three dimensional pose initial recognition step of performing three dimensional pose recognition on an input image containing a human image to obtain image-based three dimensional human pose information; a sensor information acquisition step of acquiring, by a motion sensor, motion information of human articulation points; and a three dimensional pose correction step of correcting, with the motion information acquired by the sensor information acquisition step, the image-based three dimensional human pose information recognized by the three dimensional pose initial recognition step. According to the technical solution of the invention, it is possible to improve accuracy of the three dimensional human pose recognition efficiently. Further, the present invention also discloses a three dimensional human pose recognition method and apparatus, in which three dimensional half-body pose recognition is proposed, thereby speed of three dimensional human pose recognition can be improved significantly while improving accuracy of three dimensional human pose recognition.
    • 本发明公开了一种三维人体姿态识别方法和装置,其中三维人体姿态识别方法包括以下步骤:对包含人体图像的输入图像执行三维姿态识别的三维姿势初始识别步骤,以获得图像 三维人体姿态信息; 传感器信息获取步骤,通过运动传感器获取人类关节点的运动信息; 以及三维姿势校正步骤,通过由所述传感器信息获取步骤获取的运动信息,校正由所述三维姿势初始识别步骤识别的基于图像的三维人体姿势信息。 根据本发明的技术方案,可以有效地提高三维人体姿态识别的准确性。 此外,本发明还公开了一种三维人体姿态识别方法和装置,其中提出了三维半体姿态识别,从而可以显着提高三维人体姿态识别的速度,同时提高三维人体姿态识别的准确性 。
    • 7. 发明授权
    • Method and system for carrying out reliability classification for motion vectors in a video
    • 在视频中执行运动矢量的可靠性分类的方法和系统
    • US08514940B2
    • 2013-08-20
    • US12715707
    • 2010-03-02
    • Bo HanWeiguo Wu
    • Bo HanWeiguo Wu
    • H04N7/12H04N11/02H04N11/04
    • H04N19/567G06T7/223
    • A method and system for carrying out reliability classification for motion vectors in a video is proposed in the application. The method comprises: partitioning and searching step for partitioning a specified video frame of an input video, and searching motion vectors for a specified block of the specified video frame so as to generate a block matching error for the specified block; texture feature extracting step for extracting a texture feature of the specified block; and classifying-by-block step for carrying out reliability classification for the motion vectors for the specified block in accordance with the block matching error and the texture feature of the specified block.
    • 在应用中提出了一种用于在视频中执行运动矢量的可靠性分类的方法和系统。 该方法包括:分割和搜索步骤,对输入视频的指定视频帧进行分割,以及搜索指定视频帧的指定块的运动矢量,以产生指定块的块匹配误差; 纹理特征提取步骤,用于提取指定块的纹理特征; 以及根据块匹配误差和指定块的纹理特征对指定块的运动矢量执行可靠性分类的逐块步骤。
    • 8. 发明申请
    • METHOD AND DEVICE FOR CLASSIFYING IMAGE
    • 用于分类图像的方法和装置
    • US20120093420A1
    • 2012-04-19
    • US13319914
    • 2010-05-18
    • Lun ZhangWeiguo Wu
    • Lun ZhangWeiguo Wu
    • G06K9/62G06K9/46
    • G06K9/4647G06K9/4614
    • A method and a device for classifying an image are provided. The method includes: extracting a set of features as a feature vector, wherein the extracting includes: for each feature of the feature vector, determining a plurality of first areas arranged along a first axis and a plurality of second areas arranged along a second axis intersecting with the first axis; calculating the first differences between the sums of the pixels or the mean values of the plurality of first areas and the second differences between the sums of the pixels or the mean values of the plurality of second areas; and calculating the magnitude of gradient and the direction of gradient based on the first differences and the second differences, so as to form each feature; and according to the extracted feature vector, classifying the image.
    • 提供了一种用于分类图像的方法和装置。 该方法包括:提取一组特征作为特征向量,其中所述提取包括:对于所述特征向量的每个特征,确定沿着第一轴布置的多个第一区域和沿着与所述特征向量相交的第二轴线布置的多个第二区域 与第一轴; 计算所述多个第一区域的像素或者平均值的和之间的第一差异以及所述多个第二区域的像素和/或平均值之和之间的第二差值; 并基于第一差异和第二差异来计算梯度的大小和梯度的方向,以形成每个特征; 并根据提取的特征向量对图像进行分类。
    • 10. 发明申请
    • Combined Waterwheel Oxygen-increasing Machine
    • 联合水车增氧机
    • US20080164624A1
    • 2008-07-10
    • US11969420
    • 2008-01-04
    • Weiguo Wu
    • Weiguo Wu
    • B01F3/04
    • B01F3/04765B01F7/001B01F7/00125B01F7/00141B01F7/00308B01F7/00633B01F13/0049B01F2215/0052
    • The combined waterwheel oxygen-increasing machine pertains to the area of life-saving and facilitation equipment in aquaculture development. The existing waterwheel oxygen-increasing machine is a floating body with brackets integrally connected, inconvenient for assembly and disassembly and for general use. The present invention comprises of floating bodies, a power device, a reduction gearbox and impellers, wherein the power device is connected to a reduction gearbox, which then drives said impellers via an output shaft. The floating bodies are hollow, closed, bodies including longitudinal floating bodies and transversal floating body connected vertically with each other, wherein one end of the longitudinal floating bodies are connected to transversal floating body. The floating bodies bear an output shaft. The impellers are located in the midst of the area surrounded by the longitudinal floating bodies and the transversal floating body. Moreover, said impellers are overlapping impellers connected in a series by a plurality of single impeller bodies. The advantages of the invention lie in the adjustable number of floating bodies and impellers for different needs according to the actual oxygen-increasing power, flexible assembly and installation, convenient assembly and disassembly, good general property use and wide applicable scopes. In addition, light weight and fine floating properties as well as a low manufacturing cost for plastic materials are used.
    • 水车增氧机组合在一起,涉及水产养殖发展的救生设备和辅助设备。 现有的水车增氧机是一个浮动体,支架整体连接,不方便组装和拆卸,一般使用。 本发明包括浮体,动力装置,减速齿轮箱和叶轮,其中动力装置连接到减速齿轮箱,然后减速齿轮箱经由输出轴驱动所述叶轮。 浮体是中空的,封闭的,包括彼此垂直连接的纵向浮体和横向浮体的主体,其中纵向浮体的一端连接到横向浮体。 浮体承载输出轴。 叶轮位于由纵向浮体和横向浮体围绕的区域中间。 此外,所述叶轮是由多个单个叶轮体串联连接的重叠叶轮。 本发明的优点在于根据实际的增氧功率,柔性组装和安装,方便的组装和拆卸,良好的一般性能使用和广泛的适用范围,可调节数量的浮体和叶轮用于不同的需要。 此外,使用重量轻,漂浮性好,塑料材料制造成本低。