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A Novel Recursive Region-Based Camera Break Minimization Algorithm

机译:基于递归区域的新型摄像机间隔最小化算法

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This paper presents a novel recursive region-based camera break minimization algorithm to minimize the number of shots to be used for video browsing and searching. Regions are used as basic element to represent shots. The proposed recursive algorithm reduces the number of shots by either eliminating shots or merging shots, based on some pre-defined cases (or rules). Additional cases may easily be included in the algorithm to enhance the algorithm. A cost function is also proposed in solving the problem of selecting shots for merging in complicated situations. Basic parameters, such as the length of the shot and the number of common regions are used in this paper. Any sensitive and meaningful parameters added to the cost function may further improve the accuracy in the process of the shot selection. Our experimental results show that the algorithm is capable of minimizing the number of shots to any required value.
机译:本文提出了一种新颖的基于递归区域的摄像机间隔最小化算法,以最小化用于视频浏览和搜索的镜头数量。区域被用作代表镜头的基本元素。所提出的递归算法基于一些预定义的情况(或规则),通过消除镜头或合并镜头来减少镜头数量。可以将其他情况轻松包含在算法中以增强算法。还提出了成本函数来解决在复杂情况下选择要合并的镜头的问题。本文使用基本参数,例如镜头的长度和公共区域的数量。添加到成本函数的任何敏感和有意义的参数可以进一步提高镜头选择过程中的准确性。我们的实验结果表明,该算法能够将镜头数量减少到任何所需的值。

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