DISTRIBUTED AUTOMATIC NOTIFICATION METHOD FOR ABNORMALITY IN REMOTE MASSIVE MONITORS
    1.
    发明申请
    DISTRIBUTED AUTOMATIC NOTIFICATION METHOD FOR ABNORMALITY IN REMOTE MASSIVE MONITORS 有权
    分布式自动通知方法,用于远程监控中的异常

    公开(公告)号:US20160314590A1

    公开(公告)日:2016-10-27

    申请号:US14803219

    申请日:2015-07-20

    Abstract: The present invention discloses a distributed automatic notification method for abnormality in remote massive monitors. If a data stream is not available, a disconnect prompt stream is generated. The data stream is converted to a continuous video. Then, the continuous video is divided into a plurality of single-frame images along the time axis, and each single-frame image is divided into a plurality of image grids. A plurality of pixels are next selected from each image grid. According to a plurality of image parameter values corresponding to the plurality of pixels, a statistical value of image grid parameter is calculated. Then whether an image grid is monochromatic can be judged according to the statistical value of image grid parameter. When a plurality of continuous single-frame images are judged to be monochromatic single-frame images, the color of the monochromatic single-frame images can be further judged.

    Abstract translation: 本发明公开了一种用于远程海量监视器异常的分布式自动通知方法。 如果数据流不可用,则会生成断开提示流。 数据流被转换为连续的视频。 然后,连续视频沿着时间轴被分割为多个单帧图像,并且每个单帧图像被分成多个图像网格。 接下来从每个图像网格中选择多个像素。 根据与多个像素对应的多个图像参数值,计算图像网格参数的统计值。 那么图像网格是否是单色的,可以根据图像网格参数的统计值来判断。 当多个连续单帧图像被判断为单色单帧图像时,可以进一步判断单色单帧图像的颜色。

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