ADAPTIVE NETWORK AND METHOD
    81.
    发明申请
    ADAPTIVE NETWORK AND METHOD 有权
    自适应网络和方法

    公开(公告)号:US20120166848A1

    公开(公告)日:2012-06-28

    申请号:US13356987

    申请日:2012-01-24

    Abstract: A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of the proximity of objects. A central computer accumulates the data produced or received and relayed by each module. One of the modules is operable as a leaf node having a sleep mode to conserve energy and an interactive mode. The central computer can send a message to the leaf node commanding it to stay awake in order to receive subsequent communications.

    Abstract translation: 多个模块交互以形成自适应网络,其中每个模块发送和接收指示对象接近的数据信号。 中央计算机累积由每个模块产生或接收和中继的数据。 其中一个模块可操作为具有睡眠模式以节省能量和交互模式的叶节点。 中央计算机可以向叶节点发送消息,指示它保持清醒,以便接收后续的通信。

    Real-time Animation for an Expressive Avatar
    82.
    发明申请
    Real-time Animation for an Expressive Avatar 审中-公开
    表达性头像的实时动画

    公开(公告)号:US20120130717A1

    公开(公告)日:2012-05-24

    申请号:US12950801

    申请日:2010-11-19

    CPC classification number: G06T13/40 G10L2021/105 H04L51/04 H04L51/10 H04L51/32

    Abstract: Techniques for providing real-time animation for a personalized cartoon avatar are described. In one example, a process trains one or more animated models to provide a set of probabilistic motions of one or more upper body parts based on speech and motion data. The process links one or more predetermined phrases that represent emotional states to the one or more animated models. After creation of the models, the process receives real-time speech input. Next, the process identifies an emotional state to be expressed based on the one or more predetermined phrases matching in context to the real-time speech input. The process then generates an animated sequence of motions of the one or more upper body parts by applying the one or more animated models in response to the real-time speech input.

    Abstract translation: 描述了为个性化卡通头像提供实时动画的技术。 在一个示例中,过程训练一个或多个动画模型,以基于语音和运动数据提供一组或多个上半身部分的概率运动。 该过程将表示情绪状态的一个或多个预定短语链接到一个或多个动画模型。 在创建模型之后,该过程接收实时语音输入。 接下来,该过程基于在上下文中与实时语音输入匹配的一个或多个预定短语来识别要表达的情绪状态。 然后,该过程通过响应于实时语音输入应用一个或多个动画模型来生成一个或多个上身部分的动画序列。

    Adaptive network and method
    83.
    发明授权
    Adaptive network and method 有权
    自适应网络和方法

    公开(公告)号:US08115593B2

    公开(公告)日:2012-02-14

    申请号:US11433194

    申请日:2006-05-11

    Abstract: A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyses of the data accumulated from modules forming the adaptive network. Interactions of local processors in modules that sense an intrusion determine the location and path of movements of the intruding object and control cameras in the modules to retrieve video images of the intruding object. Multiple operational frequencies in adaptive networks permit expansions by additional networks that each operate at separate radio frequencies to avoid overlapping interaction. Additional modules may be introduced into operating networks without knowing the operating frequency at the time of introduction. Remote modules operating as leaf nodes of the adaptive network actively adapt to changed network conditions upon awaking from power-conserving sleep mode. New programs are distributed to all or selected modules under control of the base station.

    Abstract translation: 多个模块交互以形成自适应网络,其中每个模块发送和接收指示对象接近的数据信号。 中央计算机累积由每个模块生成或接收和中继的数据,用于分析接近响应,以通过自适应网络控制信号传送到选择性寻址的模块,以响应从形成自适应网络的模块累积的数据的计算机分析。 感知入侵的模块中的本地处理器的交互决定了模块中入侵物体和控制摄像机的移动的位置和路径,以检索入侵物体的视频图像。 自适应网络中的多个操作频率允许通过附加网络进行扩展,每个网络在不同的射频频率下操作以避免重叠的交互。 在不知道引入时的工作频率的情况下,可以将额外的模块引入到操作网络中。 作为自适应网络的叶节点运行的远程模块在从省电休眠模式唤醒时主动适应变化的网络状况。 新程序分配给基站控制下的所有或所选模块。

    Fast deployment of modules in adaptive network
    84.
    发明授权
    Fast deployment of modules in adaptive network 有权
    在自适应网络中快速部署模块

    公开(公告)号:US08005108B1

    公开(公告)日:2011-08-23

    申请号:US11930832

    申请日:2007-10-31

    CPC classification number: H04W8/005 H04W4/00 H04W84/18 Y02D70/00

    Abstract: A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of physical properties sensed at the modules. A new module is joined in the adaptive network in an expedient manner. The new module transmits a burst of beacon messages after the interactive module is activated to discover neighboring interactive modules deployed and operating in the adaptive network. The neighboring interactive module stays in a sleep-mode of low-power expenditure. The beacon messages persist for a first interval longer than a second interval during which the neighboring interactive modules remain in the sleep mode. After receiving the beacon messages, one or more neighboring interactive modules transmit response messages to the new interactive module. The new interactive module receives the response messages and selects a neighboring interactive module for communication based on the received response messages. The new module can also include an indicator for indicating discovery of a neighboring interactive module with which a reliable wireless link can be established.

    Abstract translation: 多个模块交互以形成自适应网络,其中每个模块发送和接收指示在模块处感测到的物理属性的数据信号。 新的模块以适当的方式加入到自适应网络中。 在交互式模块被激活以发现在自适应网络中部署和操作的相邻交互模块之后,新模块发送信标消息的突发。 相邻的交互模块处于低功耗睡眠模式。 信标消息持续长于第二间隔的第一间隔,在第二间隔期间,相邻交互模块保持在睡眠模式。 在接收到信标消息之后,一个或多个相邻的交互模块向新的交互模块发送响应消息。 新的交互模块基于接收的响应消息接收响应消息并选择相邻的交互模块进行通信。 新模块还可以包括用于指示发现可以建立可靠无线链路的相邻交互模块的指示符。

    System and method for using delayed enhancement magnetic resonance imaging and artificial intelligence to identify non-viable myocardial tissue
    85.
    发明授权
    System and method for using delayed enhancement magnetic resonance imaging and artificial intelligence to identify non-viable myocardial tissue 有权
    使用延迟增强磁共振成像和人工智能识别非存活性心肌组织的系统和方法

    公开(公告)号:US07877130B2

    公开(公告)日:2011-01-25

    申请号:US10677190

    申请日:2003-10-02

    CPC classification number: G06T7/0012

    Abstract: A system and method for imaging and identifying non-viable myocardial tissue in a patient's myocardium is disclosed. Images of a section of the myocardium are obtained. An endocardial border and epicardial border of the section of the myocardium is segmented. The section of the myocardium is divided into sectors. One or more selected features of the sectors of the myocardial wall are measured and applied to a decision surface. A determination is made as to whether each sector contains viable or non-viable myocardial tissue. An image that shows each sector of the myocardial wall and an indication of its viability is displayed.

    Abstract translation: 公开了一种用于在患者心肌中成像和鉴定非存活性心肌组织的系统和方法。 获得心肌的一部分的图像。 将心肌部分的心内膜边界和心外膜边界分割。 心肌的部分分为部分。 测量心肌壁扇区的一个或多个所选择的特征并将其应用于决策表面。 确定每个部门是否包含活的或不活的心肌组织。 显示了显示心肌壁的每个部分的图像和其活力的指示。

    Methods and systems for example-based TV color calibration
    86.
    发明授权
    Methods and systems for example-based TV color calibration 失效
    用于基于示例的电视色彩校准的方法和系统

    公开(公告)号:US07808526B2

    公开(公告)日:2010-10-05

    申请号:US11398150

    申请日:2006-04-04

    CPC classification number: H04N9/73 H04N17/02 H04N17/04

    Abstract: An example-based method and system for electronic display color calibration is provided. By comparing the colors of commonly available objects with a color database under a controlled lighting condition, the user adjusts the gain and offset parameters of the Red, Green and Blue color components of the display. Two different methods are provided, wherein one method involves manipulating the comparison colors in the RGB color space, and the other method involves manipulating the comparison colors in the CIE x-y plane. Two different systems that incorporate the example-based color calibration methods are also provided, wherein one system directly implements the calibration method in the television system, while the other system implements the calibration method as a separate tool for viewers to calibrate the color of their displays.

    Abstract translation: 提供了一种基于示例的电子显示颜色校准方法和系统。 通过将可用对象的颜色与受控照明条件下的颜色数据库进行比较,用户可以调整显示器的红色,绿色和蓝色分量的增益和偏移参数。 提供了两种不同的方法,其中一种方法涉及操纵RGB颜色空间中的比较颜色,另一种方法涉及操纵CIE x-y平面中的比较颜色。 还提供了包含基于示例的颜色校准方法的两个不同的系统,其中一个系统在电视系统中直接实现校准方法,而另一个系统将校准方法实施为用于观看者校准其显示器的颜色的单独工具 。

    Method and apparatus for object detection in sequences
    87.
    发明授权
    Method and apparatus for object detection in sequences 失效
    序列中物体检测的方法和装置

    公开(公告)号:US07636454B2

    公开(公告)日:2009-12-22

    申请号:US11398103

    申请日:2006-04-04

    CPC classification number: G06K9/00711 G06F17/3079 G06T7/20

    Abstract: A method and apparatus for detecting and locating objects of interest in video sequences is provided. A frame is defined as an image belonging to video sequences. Each frame with the same or different size of original input sequences is searched by the same or different size window efficiently for detecting objects. The characteristics of temporal redundancies in video sequences are used in detecting objects in video sequences.

    Abstract translation: 提供了一种用于检测和定位视频序列中的感兴趣对象的方法和装置。 帧被定义为属于视频序列的图像。 具有相同或不同大小的原始输入序列的每个帧通过相同或不同的大小窗口被有效地搜索以用于检测对象。 视频序列中的时间冗余的特征用于检测视频序列中的对象。

    Method and system for quantization artifact removal using super precision
    88.
    发明授权
    Method and system for quantization artifact removal using super precision 有权
    使用超精度进行量化伪像去除的方法和系统

    公开(公告)号:US07551795B2

    公开(公告)日:2009-06-23

    申请号:US11264973

    申请日:2005-11-01

    Abstract: An image processing method and system removes quantization artifacts in digital video/images. The local neighborhood of the current pixel is segmented based on a pre-defined quantization level to generate a segment containing the current pixel. Then, the luminance values of the pixels within the segment are low-pass filtered. Several sub-gains are computed based on measurements of the segment, and the sub-gains are multiplied together and filtered to obtain a final gain value. The final gain value is used to linearly interpolate between the original luminance value and the filtered luminance value of the pixel to obtain an output luminance value.

    Abstract translation: 图像处理方法和系统消除数字视频/图像中的量化伪像。 基于预定义的量化级别对当前像素的局部邻域进行分段,以生成包含当前像素的段。 然后,片段内的像素的亮度值被低通滤波。 基于段的测量来计算几个子增益,并将子增益相乘并过滤以获得最终增益值。 最终增益值用于在原始亮度值和滤波后的像素亮度值之间线性插值,以获得输出亮度值。

    Methods and systems for video processing using super dithering
    89.
    发明授权
    Methods and systems for video processing using super dithering 有权
    使用超级抖动的视频处理方法和系统

    公开(公告)号:US07420570B2

    公开(公告)日:2008-09-02

    申请号:US11106812

    申请日:2005-04-14

    CPC classification number: G09G3/2051

    Abstract: A super dithering method of color video quantization maintains the perceived video quality on a display with less bit depth of color than the input video. Super dithering relies on both the spatial and temporal properties of human visual system, wherein spatial dithering is applied to account for human eye's low pass spatial property, while temporal dithering is applied to achieve the quantization level of the spatial dithering.

    Abstract translation: 彩色视频量化的超抖动方法在显示器上保持感知视频质量,比输入视频具有更少的位深度的颜色。 超级抖动依赖于人类视觉系统的空间和时间属性,其中应用空间抖动来考虑人眼的低通空间特性,同时应用时间抖动来实现空间抖动的量化水平。

    System and method for video noise reduction using an adaptive temporal method with motion detection and motion compensation
    90.
    发明申请
    System and method for video noise reduction using an adaptive temporal method with motion detection and motion compensation 失效
    使用具有运动检测和运动补偿的自适应时间方法进行视频降噪的系统和方法

    公开(公告)号:US20080204600A1

    公开(公告)日:2008-08-28

    申请号:US11710594

    申请日:2007-02-23

    CPC classification number: H04N5/144 H04N5/21

    Abstract: An adaptive temporal noise reduction method that adaptively combines motion adaptive filtering results and motion compensated results to reduce Gaussian additive noise in video sequences is described herein. The system determines the motion detection and motion compensation results from the current frame and the filtered previous frame. Measurements on the video are used to determine a probabilistic measure of noise that is employed to adaptively combine the motion detection and motion compensation results.

    Abstract translation: 本文描述了自适应地组合运动自适应滤波结果和运动补偿结果以减少视频序列中的高斯加性噪声的自适应时间噪声降低方法。 该系统从当前帧和经过滤的前一帧确定运动检测和运动补偿结果。 视频测量用于确定用于自适应地组合运动检测和运动补偿结果的噪声概率测量。

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