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基于视频页的视频流分割方法

Video Stream Segmentation Method Based on Video Page

  • 摘要: 提出了基于视频页的视频流分割方法.该方法通过定义视频帧的色彩相近区、光照变化区和色彩变化区,获得视觉内容改变的局部区域,由此进一步确定两帧的视觉内容相似性,从而实现视频页的分割.经与几种有代表性的视频流分割算法的实验比较,证明该检测算法不仅对光照变化的影响具有很高的鲁棒性,而且使得分割能在较高信噪比上进行,明显提高了视频流分割的准确性.

     

    Abstract: A new method of video stream segmentation based on video page is presented.By defining Color Similarity Region,Light Change Region and Color Change Region,we can identify some corresponding area of two frames where the visual content has been changed,more over we can further determine the similarity of visual contents of two frames.According to the calculating result of similarity metric,we can segment a video stream into video pages.The experiment results show that this method can tolerate wider light change range and can work properly on higher SNR level.Compared with known approaches,this method improves video stream segmentation veracity evidently.

     

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