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    • 82. 发明授权
    • Electrical connector assembly with securement device
    • 带固定装置的电气连接器组件
    • US06722920B2
    • 2004-04-20
    • US10266739
    • 2002-10-07
    • Jian Zhang
    • Jian Zhang
    • H01R1373
    • H01R13/639H01R12/7047H01R43/26
    • An electrical connector assembly (1) comprises an electric card (4), an insulative housing (20), an upper and lower rows of contacts (21) accommodated in the housing, and a pair of securement devices (3) assembled into the housing. The electric card defines a pair of through holes (41) therein. The housing comprises a main body (201) and a pair of support portions (200). Each support portion defines a groove (2020) and a receiving hole (2021) defined in the support portion from a bottom face of the groove. The securement device comprises a base portion (31), a protrusion (32) protruding downwardly from the base portion for being received into the groove, and a pair of opposite legs (33) extending downwardly from the protrusion. Each leg has an engaging face (332) abutting against a lower face (44) of the electric card to fix the electric card with the housing.
    • 电连接器组件(1)包括电卡(4),绝缘壳体(20),容纳在壳体中的上排和下排触点(21),以及一对组装到壳体中的固定装置(3) 。 电卡在其中限定一对通孔(41)。 壳体包括主体(201)和一对支撑部分(200)。 每个支撑部分从凹槽的底面限定在支撑部分中限定的凹槽(2020)和容纳孔(2021)。 所述固定装置包括基部(31),从所述基部向下突出以被容纳在所述槽中的突起(32)以及从所述突起向下延伸的一对相对的支脚(33)。 每个腿具有抵靠电卡的下表面(44)的接合面(332),以将电卡与壳体固定。
    • 84. 发明授权
    • Method of estimating motion in interlaced video
    • 交错视频中运动估计方法
    • US06449312B1
    • 2002-09-10
    • US09589705
    • 2000-06-08
    • Jian ZhangReji Mathew
    • Jian ZhangReji Mathew
    • H04N712
    • H04N5/145H04N19/105H04N19/112H04N19/137
    • A method of estimating motion in interlaced video involves, firstly, a frame search (61), where a search is conducted for the frame structure using a sub-sampled block matching metric (e.g. sub-sampled SAD). The locations to be searched are either fixed or dynamically determined based on the minimum frame SAD (ie best frame block match). Next, pixel errors are calculated (62) for all pixels included in the sub-sampled block matching metric. Each pixel error is first identified as belonging to one of four field patterns (e.g. even-even, even-odd, odd-even and odd-odd). For each location, pixel errors can be classified into two field patterns, either even-even and odd-odd or even-odd and odd-even (63). The pixel errors belonging to the same field pattern are added together (64) to obtain field error values (eg field SAD values). The individual field error (or field SAD) values are used to determine (77-80) the field Motion Vectors. The location of the lowest field SAD value is taken as the position of best match. All pixel errors are then summed together (65) to obtain the frame error and the location of the lowest frame error (or frame SAD) is taken as the position of best match for the frame. The frame and field Motion Vectors can be refined by using a full block matching metric within the small search window (66, 73-76).
    • 估计隔行视频中的运动的方法首先涉及帧搜索(61),其中使用子采样块匹配度量(例如,子采样SAD)对帧结构进行搜索。 要搜索的位置是基于最小帧SAD(即最佳帧块匹配)来固定或动态确定的。 接下来,对于包括在子采样块匹配度量中的所有像素,计算(62)像素误差。 首先将每个像素误差识别为属于四个场模式之一(例如,偶数均匀,偶数奇数,奇偶校验和奇数奇数)。 对于每个位置,像素误差可分为偶数和奇数奇偶奇数奇数两种场模式(63)。 属于相同场模式的像素误差被加在一起(64)以获得场误差值(例如场SAD值)。 单个字段错误(或字段SAD)值用于确定(77-80)字段运动矢量。 最低字段SAD值的位置作为最佳匹配的位置。 然后将所有像素误差相加在一起(65)以获得帧错误,并且将最低帧错误(或帧SAD)的位置作为帧的最佳匹配位置。 可以通过在小搜索窗口(66,73-76)内使用完整的块匹配度量来改进帧和场运动矢量。