SYSTEM AND METHOD FOR SHOT CHANGE DETECTION IN A VIDEO SEQUENCE
    1.
    发明申请
    SYSTEM AND METHOD FOR SHOT CHANGE DETECTION IN A VIDEO SEQUENCE 有权
    视频序列中的变化检测的系统和方法

    公开(公告)号:US20120008051A1

    公开(公告)日:2012-01-12

    申请号:US12941593

    申请日:2010-11-08

    CPC classification number: H04N5/14 G06K9/00765 G06K9/6212 H04N5/147

    Abstract: A computer implemented method for automatically identifying shot changes in a video sequence in real-time or near-real-time is disclosed. Optical flow energy change differences between frames, sum-of-square differences between optical-flow-compensated frames, and hue histogram changes within frames are analyzed and stored in frame buffers. A feature vector formed from a combination of these measurements is compared to a feature vector formed from thresholds based on tunable recall and precision to declare the presence or absence of a shot change.

    Abstract translation: 公开了一种用于自动识别视频序列中的实时或近实时镜头变化的计算机实现方法。 帧之间的光流能量变化差异,光流补偿帧之间的平方和差异以及帧内的色调直方图变化被分析并存储在帧缓冲器中。 将从这些测量的组合形成的特征向量与由基于可调谐回忆和精度的阈值形成的特征向量进行比较,以声明是否存在镜头变化。

    System and method for shot change detection in a video sequence
    4.
    发明授权
    System and method for shot change detection in a video sequence 有权
    视频序列中镜头变化检测的系统和方法

    公开(公告)号:US08451384B2

    公开(公告)日:2013-05-28

    申请号:US12941593

    申请日:2010-11-08

    CPC classification number: H04N5/14 G06K9/00765 G06K9/6212 H04N5/147

    Abstract: A computer implemented method for automatically identifying shot changes in a video sequence in real-time or near-real-time is disclosed. Optical flow energy change differences between frames, sum-of-square differences between optical-flow-compensated frames, and hue histogram changes within frames are analyzed and stored in frame buffers. A feature vector formed from a combination of these measurements is compared to a feature vector formed from thresholds based on tunable recall and precision to declare the presence or absence of a shot change.

    Abstract translation: 公开了一种用于自动识别视频序列中的实时或近实时镜头变化的计算机实现方法。 帧之间的光流能量变化差异,光流补偿帧之间的平方和差异以及帧内的色调直方图变化被分析并存储在帧缓冲器中。 将从这些测量的组合形成的特征向量与由基于可调谐回忆和精度的阈值形成的特征向量进行比较,以声明是否存在镜头变化。

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