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    • 3. 发明授权
    • Motion compensation image interpolation—frame rate conversion for HDTV
    • 高清电视的运动补偿图像插值 - 帧速率转换
    • US06229570B1
    • 2001-05-08
    • US09161337
    • 1998-09-25
    • Kobad BugwadiaEric D. PetajanNarindra N. Puri
    • Kobad BugwadiaEric D. PetajanNarindra N. Puri
    • H04N701
    • H04N7/014H04N7/0125
    • A process for up-converting an existing video source signal having a low frequency (frames/second) to a high frequency signal for use with High Definition Television (HDTV). The process samples the existing frames in the existing video signal and calculates integer displacements of pels within the existing frames. A polynomial curve fit is then performed on the displacements to obtain estimates of horizontal and vertical displacements of each block in each existing frame. Based on the alignment of the blocks within a sampling grid on each frame, the blocks are segregated into groups. The block groups are then used to interpolate missing or required frames of the high frequency signal in a piecemeal manner by utilizing blocks of a particular block group to estimate a corresponding block in a frame of the high frequency signal.
    • 用于将具有低频(帧/秒)的现有视频源信号上转换为用于高清晰度电视(HDTV)的高频信号的处理。 该过程对现有视频信号中的现有帧进行采样,并计算现有帧内的像素的整数位移。 然后对位移进行多项式曲线拟合,以获得每个现有帧中每个块的水平和垂直位移的估计。 基于每个帧上的采样网格内的块的对准,块被分离成组。 然后,块组用于通过利用特定块组的块估计高频信号的帧中的对应块,以零碎的方式内插高频信号的丢失或所需帧。
    • 9. 发明授权
    • Electronic facial tracking and detection system and method and apparatus
for automated speech recognition
    • 电子面部跟踪检测系统及自动语音识别方法与装置
    • US4975960A
    • 1990-12-04
    • US741298
    • 1985-06-03
    • Eric D. Petajan
    • Eric D. Petajan
    • G06K9/62G07C9/00G10L15/24
    • G07C9/00158G10L15/24
    • The apparatus includes circuitry for obtaining a video image of an individual's face, circuitry for electronically locating and tracking a first feature, such as the nostrils, of the facial image for use as reference coordinates and circuitry responsive to the reference coordinates for locating and tracking a second facial feature, such as the mouth, of the facial image with respect to the first feature. By tracking the location of the nostrils, the apparatus can follow the movement of the mouth, and thereby automatically recognize speech. In a preferred embodiment, the video image is grayscale encoded and the raster lines are smoothed to eliminate noise. The transitions between gray levels of the smoothed image are encoded and the resulting transition code is used to form a contour map of the image from which region parameters are computed which can be compared against stored speech templates to recognize speech. In the preferred embodiment, acoustic speech recognition is combined with visual speech recognition to improve accuracy.
    • 该装置包括用于获得个人脸部的视频图像的电路,用于电子定位和跟踪面部图像的第一特征(例如鼻孔)以用作参考坐标的电路和响应于用于定位和跟踪的基准坐标的电路 面部图像相对于第一特征的第二面部特征,例如口部。 通过跟踪鼻孔的位置,该装置可以跟随嘴的移动,从而自动识别语音。 在优选实施例中,视频图像被灰度编码,光栅线被平滑以消除噪声。 平滑图像的灰度级之间的转换被编码,并且所得到的转换代码被用于形成图像的轮廓图,从其计算区域参数,其可以与存储的语音模板进行比较以识别语音。 在优选实施例中,声学语音识别与视觉语音识别相结合以提高精度。