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Video segmentation based on Consistency of multimedia communication campaign

机译:基于多媒体通信活动的一致性的视频分割

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proposed a motion-based video segmentation algorithm consistency.In a natural video sequence, the movements of different objects are different;we can use this in the proposed motion estimation algorithm to estimate the motion model step by step.In order to improve the reliability, the first use of the gray level information of the object frame image segmentation, get a set of regional.Models of different sports have different support area;support area under the motion model can be split out to its corresponding video object.To determine whether an area is the support of a regional movement model proposed by the average absolute displacement within the region as a support area of the frame difference criterion.For those small size mismatch region, a discriminant analysis, assigned to the neighborhood of a video object.
机译:提出了一种基于运动的视频分段算法一致性。在自然视频序列中,不同对象的运动是不同的;我们可以在所提出的运动估计算法中使用它来估计运动模型一步一步。在顺序提高可靠性,首次使用对象帧图像分割的灰度信息,得到一组不同运动的区域。不同的体育的区域。在运动模型下的支持区域可以分开到其相应的视频对象。确定是否是一个区域是通过该区域内的平均绝对位移提出的区域运动模型作为帧差标准的支持区域提出的。对于那些小尺寸的错配区域,判别分析,分配给视频对象的邻居。

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