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。
Video object segmentation exists two difficult problems: how to segment object in real-time and extract multiple objects while the occlusion is emerged.
视频对象的分割目前存在两个难题，一是如何提高分割的实时性，二是对存在互遮挡的多个对象如何进行有效分割。
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。
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