Method and device for motion information prediction in multi-view video coding
    164.
    发明授权
    Method and device for motion information prediction in multi-view video coding 有权
    多视点视频编码中运动信息预测的方法和装置

    公开(公告)号:US09247271B2

    公开(公告)日:2016-01-26

    申请号:US13647253

    申请日:2012-10-08

    CPC classification number: H04N19/91 H04N19/52 H04N19/597

    Abstract: The invention concerns a method for encoding a video stream, an associated method for decoding a video stream, an associated encoder, an associated decoder and associated computer programs. The encoding method is directed to encoding a video stream comprising at least one video sequence, comprising, for the encoding of a square or rectangular block of a picture of a video sequence of the video stream, selecting a motion information predictor for the block from a list of candidate motion information predictors, and entropic encoding of an index representative of a position of the selected motion information predictor in the list.

    Abstract translation: 本发明涉及用于编码视频流的方法,用于解码视频流的相关方法,相关编码器,相关联的解码器和相关联的计算机程序。 该编码方法涉及对包括至少一个视频序列的视频流进行编码,包括用于对视频流的视频序列的图像的平方或矩形块进行编码,从一个视频序列的视频序列中选择一个运动信息预测器 候选运动信息预测器的列表,以及表示所选运动信息预测器在列表中的位置的索引的熵编码。

    TRANSDUCER WITH BULK WAVES SURFACE-GUIDED BY SYNCHRONOUS EXCITATION STRUCTURES
    167.
    发明申请
    TRANSDUCER WITH BULK WAVES SURFACE-GUIDED BY SYNCHRONOUS EXCITATION STRUCTURES 有权
    带有大容量波形的传感器由同步激励结构引导

    公开(公告)号:US20150303895A1

    公开(公告)日:2015-10-22

    申请号:US14436455

    申请日:2013-10-09

    Abstract: A surface-guided bulk wave transducer (102) comprises a stack of an acoustic substrate (6), an electric ground plane (8), and a network (110) of synchronous acoustic excitation sources with two combs (112, 114) of elementary piezoelectric transducers (122, 124, 126, 128, 130, 132) alternately interlaced two-by-two according to a periodic network step corresponding to a propagation mode of a surface-guided bulk wave of the acoustic substrate (6).Each elementary piezoelectric transducer (122, 124, 126, 128, 130, 132) includes a single and different rod with a parallelepipedal shape for which the nature, the cut of the piezoelectric material, the height h, the width are selected for increasing the electromechanical coupling coefficient of the transducer assembly (102) to a high level.

    Abstract translation: 表面引导的体波换能器(102)包括声学衬底(6),电接地平面(8)和具有基本的两个梳状物(112,114)的同步声学激励源的网络(110)的堆叠 压电换能器(122,124,126,128,130,132)根据对应于声学衬底(6)的表面引导的整体波的传播模式的周期性网络步骤交替地交错地隔行扫描。 每个元件压电换能器(122,124,126,128,130,132)包括具有平行六面体形状的单个和不同的杆,其性质,压电材料的切口,高度h,宽度被选择用于增加 换能器组件(102)的机电耦合系数达到高水平。

    METHOD FOR DETERMINING THE SIZE DISTRIBUTION OF A MIXTURE OF PARTICLES USING TAYLOR DISPERSION, AND ASSOCIATED SYSTEM
    170.
    发明申请
    METHOD FOR DETERMINING THE SIZE DISTRIBUTION OF A MIXTURE OF PARTICLES USING TAYLOR DISPERSION, AND ASSOCIATED SYSTEM 有权
    用于确定使用TAYLOR DISPERSION和相关系统的颗粒混合物的尺寸分布的方法

    公开(公告)号:US20150192507A1

    公开(公告)日:2015-07-09

    申请号:US14410019

    申请日:2013-06-26

    CPC classification number: G01N15/0205 G01N15/02 G01N15/0211 G01N35/085

    Abstract: The method comprises the following steps: injecting (100) a sample into a capillary; transporting (110) the sample along the capillary in experimental conditions suited to generate a Taylor dispersion phenomenon; generating (120) a signal characteristic of the Taylor dispersion; processing (130) the signal in order to obtain the experimental Taylor signal Ŝ(t); and analysing (200) the experimental Taylor signal Ŝ(t), The analysis step consists of seeking an amplitude distribution P(G(c)) that allows the experimental Taylor signal Ŝ(t) to be broken down into a sum of Gaussian functions by implementing a constrained regularization algorithm consisting of minimising a cost function Hα including at least one constraint term associated with a constraint that must observe the amplitude distribution P(G(c)) , whereby the minimization is carried out on an interval of interest of the values of the parameter G(c) that is characteristic of the Gaussian amplitude function P(G(c)).

    Abstract translation: 该方法包括以下步骤:将样品注入(100)到毛细管中; 在适于产生泰勒色散现象的实验条件下沿着毛细管传送(110)样品; 产生(120)泰勒分散的信号特征; 处理(130)信号以获得实验泰勒信号Ŝ(t); 并分析(200)实验泰勒信号Ŝ(t),分析步骤包括寻求允许将实验泰勒信号Ŝ(t)分解为高斯函数之和的幅度分布P(G(c)) 通过实现包含最小化成本函数Hα的约束正则化算法,该成本函数包括至少一个与必须遵守幅度分布P(G(c))的约束相关联的约束项,由此最小化在 作为高斯振幅函数P(G(c))的特征的参数G(c)的值。

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