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基于压缩域的视频关注对象提取

DOI: 10.11834/jig.20091039

Keywords: 均值偏移,信息熵,运动矢量,对象提取

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Abstract:

针对视频压缩域的对象分割问题,提出了一种视频对象精确提取方法。先将视频对象的颜色空间进行均值偏移和区域生长,得到分块的视频图像。同时对视频编码过程中所产生的运动矢量统计熵值,提取出视频中能引起人眼关注的运动对象。最后利用提出的对象轮廓精确分割方法,提取视频关注对象。实验表明该算法能精确和完整地分割出视频关注对象,并对视频中关注对象的切换、物体的非刚性形变有很好的鲁棒性。

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