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Video segmentation based on Consistency of multimedia communication campaign

机译:基于多媒体通信活动一致性的视频分割

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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割算法一致性。在自然视频序列中,不同物体的运动是不同的;我们可以在提出的运动估计算法中使用它来逐步估计运动模型。为提高可靠性,首先利用灰度信息对目标帧进行图像分割,得到一组区域。不同运动的模型具有不同的支持区域;运动模型下的支持区域可以划分为对应的视频对象。区域是区域运动模型的支持,该模型由区域内的平均绝对位移作为帧差准则的支持区域提出。对于那些小尺寸不匹配区域,将判别分析分配给视频对象的邻域。

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