Improved Adaptive Skip Algorithm for Video Shot Boundary Detection

A. Baskar, M. Prabukumar, S. Sathishkumar
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引用次数: 4

Abstract

Video shot boundary (VSB) detection plays an important role in modern video archiving and summarization applications. The classical linear approach towards VSB detection is basically a sequential search, however this approach is computationally very expensive for large databases. In this work we propose a non-linear approach for VSB detection, which is an improvement of existing adaptive skip. The proposed technique compares less than 10% of frames in an entire video. Our experimental result shows that the proposed technique outperforms the other existing non-linear algorithms with better accuracy and meaningful VSBs
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视频镜头边界检测的改进自适应跳过算法
视频镜头边界(VSB)检测在现代视频存档和摘要应用中起着重要的作用。VSB检测的经典线性方法基本上是顺序搜索,但是这种方法对于大型数据库来说计算成本非常高。在这项工作中,我们提出了一种非线性的VSB检测方法,这是对现有自适应跳频的改进。所提出的技术对整个视频中不到10%的帧进行比较。实验结果表明,该方法优于现有的非线性算法,具有更好的精度和有意义的VSBs
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