Abrupt scene change detection based on the temporal activity distributions

Jae-Ho Chung
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Abstract

In this paper, an abrupt scene change detection algorithm is suggested. The algorithm is developed based on the temporal activity distribution that derived from the temporal subband analysis. Computer simulation results show that the proposed scheme is capable of detecting abrupt scene changes in video sequence accurately and efficiently.
基于时间活动分布的场景突变检测
本文提出了一种场景突变检测算法。该算法是基于时间子带分析得到的时间活动分布而开发的。计算机仿真结果表明,该方法能够准确有效地检测视频序列中场景的突变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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