To realize video object segment, we proposed one algorithm base on Bayes decision-making theory with least risk and video sequence edge information.
为了实现较完整的视频对象分割，提出了一种基于视频图像边缘信息和最小错误率的贝叶斯决策理论的视频对象分割算法。
In this video segment we investigate some fundamental techniques for turning the stand-in object into a subdivision surface.
在这段视频中，我们研究了一些基本的技术将在对象的立场，细分曲面。
Experimental results show that the algorithm can accurately and robustly segment the video object.
实验结果表明，本文提出的算法能精确、鲁棒地分割出视频对象。
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