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    • 23. 发明授权
    • Process for producing sponge titanium
    • 海绵钛生产工艺
    • US08876938B2
    • 2014-11-04
    • US13585717
    • 2012-08-14
    • Xuemin ChenJun YangZhi Zhou
    • Xuemin ChenJun YangZhi Zhou
    • C22B34/12
    • C22B34/1277C22B34/1272
    • The present invention provides a process for producing sponge titanium, which includes the following steps: Step A: placing aluminum into a resistance furnace, vacuum pumping, introducing inert gas, heating to molten aluminum; Step B: opening a reactor cover, adding a proper amount of potassium fluotitanate to a reactor, leakage detecting after closing the reactor cover, slowly raising the temperature to 150° C., vacuum pumping, and continuously heating to 250° C.; Step C: introducing inert gas into the reactor, continuously raising the temperature to 750° C., stirring uniformly; Step D: opening a valve to adjust the stirring speed, adding molten aluminum drops, and controlling the reaction temperature to 750° C. to 850° C.; Step E: opening the reactor cover, removing a stirring device, eliminating the upper layer of KAlF4 to obtain sponge titanium. The present invention has the beneficial effects of short process flow, low cost, environmental protection and harmlessness.
    • 本发明提供一种生产海绵钛的方法,其包括以下步骤:步骤A:将铝放入电阻炉中,真空泵送,引入惰性气体,加热至熔融铝; 步骤B:打开反应器盖,向反应器中加入适量的氟钛酸钾,关闭反应器盖后进行泄漏检测,缓慢升温至150℃,真空泵送,并连续加热至250℃。 步骤C:将惰性气体引入反应器,将温度持续升至750℃,均匀搅拌; 步骤D:打开阀门以调节搅拌速度,加入熔融的铝滴,并将反应温度控制在750℃至850℃; 步骤E:打开反应器盖,取出搅拌装置,取出上层的KAlF4,得到海绵钛。 本发明具有工艺流程短,成本低,环保和无害化的有益效果。
    • 29. 发明授权
    • Detection and interpolation of still objects in a video sequence
    • 视频序列中静止对象的检测和插值
    • US08144247B2
    • 2012-03-27
    • US11766722
    • 2007-06-21
    • Yeong-Taeg KimZhi Zhou
    • Yeong-Taeg KimZhi Zhou
    • H04N7/01H04N11/20
    • H04N5/145H04N5/144H04N7/0127H04N7/014
    • The present disclosure provides systems and methods for detecting and interpolating still pixels. In certain embodiments, the systems and methods establish a still pixel level for each still pixel, and using that still pixel level, provide an interpolation procedure for determining the pixel value of a selected pixel at a frame a distance α from frame F(t−1). Disclosed embodiments are capable of providing motion compensated interpolation results for a wide variety of circumstances, including cases where the endpoints of the motion vector of a selected pixel to be interpolated vary between substantially still and not still, as well as cases where mixtures of temporal and motion compensation interpolations are necessary.Still pixel candidates may be refined in a process where pixels that may be properly handled by standard motion compensation interpolation techniques are eliminated. Further, still pixel candidates may be flagged as high or low likelihood to further enhance confidence in the detected still pixels.
    • 本公开提供了用于检测和内插静止像素的系统和方法。 在某些实施例中,系统和方法为每个静止像素建立静态像素级,并且使用该静止像素级提供内插过程,用于确定帧f处的所选像素的像素值与帧F(t- 1)。 所公开的实施例能够为各种各样的情况提供运动补偿的插值结果,包括要插值的所选择的像素的运动矢量的端点在基本静止与不静止之间变化的情况,以及时间和 运动补偿内插是必要的。 可以在可以通过标准运动补偿插值技术正确处理的像素被消除的过程中对像素候补进行精细化。 此外,仍然像素候选可以被标记为高或低可能性,以进一步增强对所检测的静止像素的置信度。
    • 30. 发明授权
    • Picture layer rate control for video encoding
    • 视频编码的图像层速率控制
    • US08107537B2
    • 2012-01-31
    • US11347718
    • 2006-02-02
    • Zhi ZhouShijun Sun
    • Zhi ZhouShijun Sun
    • G06K9/36G06K9/46G06K9/00
    • H04N19/152H04N19/124H04N19/172H04N19/61
    • A one-pass picture-layer rate control (RC) method and system for controlling a video encoder: The bit allocation and determination of quantization parameter (QP) in this rate control method and system are based on a Rate-Quantization (R-Q) scale model. The R-Q model is a linear one, wherein the number of bits per picture is in reverse ratio of quantization scale for that picture. A conversion of exponential-based QP to linear-scaled QP is taken in the calculation of complexity model and determination of QP. The conversion is integer-based and is consistent with the quantization array defined in the H.264 standard.
    • 用于控制视频编码器的单遍图像层速率控制(RC)方法和系统:该速率控制方法和系统中的比特分配和量化参数(QP)的确定基于速率量化(RQ)量表 模型。 R-Q模型是线性模型,其中每个图像的位数是该图像的量化比例的反比。 在复杂度模型的计算和QP的确定中,将基于指数的QP转换为线性比例的QP。 该转换是基于整数的,与H.264标准中定义的量化数组一致。