Retrospective analysis of time series for frame selection in surveillance video summarization
Retrospective analysis of time series for frame selection in surveillance video summarization
复制标题
监控视频摘要中帧选择的时间序列回顾性分析
DOI：
10.1007/s11760-016-0997-z
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Wang Liang
中科院分区：
文献类型：
--
作者：
Gao Zhen;Lu Guoliang;Yan Peng;Wang Liang
最近几天，我们目睹了各种现实生活场景中视频的戏剧性增长。在本文中，我们解决的问题，监控视频摘要。为此，我们提出了一种新的关键帧选择方法：首先通过对时间序列的回顾性分析，利用基于阈值的决策方法，通过对给定视频序列的相异性进行连续测量来检测时间剪切，然后利用检测到的时间剪切，将视频分割成多个包含相似视频内容的连续片段;通过在每个得到的剪辑中执行典型的聚类过程来最后选择关键帧以用于最终视频概要。我们在基准ViSOR数据集和公开可用的IVY LAB数据集上进行了广泛的实验。实验结果表明，该方法在监控视频摘要的关键帧选择方面优于现有的同类方法，具有良好的应用前景。
In recent days, we have witnessed a dramatical growth of videos in various real-life scenarios. In this paper, we address the problem of surveillance video summarization. We present a new method of key-frame selection for this task: By virtue of retrospective analysis of time series, temporal cuts are first detected by sequentially measuring dissimilarities on a given video with threshold-based decision making; then, with the detected cuts, the video is segmented into a number of consecutive clips containing similar video contents; key frames are last selected by performing a typical clustering procedure in each resulted clip for final video summary. We have conducted extensive experiments on the benchmarkingViSORdataset and the publicly availableIVY LABdataset. Excellent performances outperformingstate-of-the-artcompetitors were demonstrated on key-frame selection for surveillance video summarization, which suggests good potentials of the proposed method in real-world applications.