REDUCED LATENCY VIDEO STABILIZATION
    1.
    发明申请
    REDUCED LATENCY VIDEO STABILIZATION 有权
    减少视频稳定

    公开(公告)号:US20130033612A1

    公开(公告)日:2013-02-07

    申请号:US13195776

    申请日:2011-08-01

    IPC分类号: H04N5/228

    摘要: Reduced latency video stabilization methods and tools generate truncated filters for use in the temporal smoothing of global motion transforms representing jittery motion in captured video. The truncated filters comprise future and past tap counts that can be different from each other and are typically less than those of a baseline filter providing a baseline of video stabilization quality. The truncated filter future tap count can be determined experimentally by comparing a smoothed global motion transform set generated by applying a baseline filter to a video segment to those generated by multiple test filter with varying future tap counts, then settings the truncated filter future tap count based on an inflection point on an error-future tap count curve. A similar approach can be used to determine the truncated filter past tap count.

    摘要翻译: 减少延迟视频稳定方法和工具生成截断的滤波器,用于表示捕获视频中的抖动运动的全局运动变换的时间平滑。 截断的滤波器包括可以彼此不同的未来和过去的分接计数,并且通常小于提供视频稳定质量基准线的基线滤波器。 可以通过将通过将基线滤波器应用于视频段而产生的平滑的全局运动变换集合与由具有变化的未来抽头计数的多个测试滤波器生成的平滑的全局运动变换集进行比较来确定截断过滤器未来抽头计数,然后设置截断的过滤器未来抽头计数 在错误 - 未来抽头计数曲线上的拐点上。 可以使用类似的方法来确定截断过滤器通过抽头计数。

    Reduced latency video stabilization

    公开(公告)号:US09824426B2

    公开(公告)日:2017-11-21

    申请号:US13195776

    申请日:2011-08-01

    IPC分类号: H04N5/228 H04N5/232 G06T5/00

    摘要: Reduced latency video stabilization methods and tools generate truncated filters for use in the temporal smoothing of global motion transforms representing jittery motion in captured video. The truncated filters comprise future and past tap counts that can be different from each other and are typically less than those of a baseline filter providing a baseline of video stabilization quality. The truncated filter future tap count can be determined experimentally by comparing a smoothed global motion transform set generated by applying a baseline filter to a video segment to those generated by multiple test filter with varying future tap counts, then settings the truncated filter future tap count based on an inflection point on an error-future tap count curve. A similar approach can be used to determine the truncated filter past tap count.