This paper introduces video segmentation of temporal segmentation and spatial segmentation, presents a video object segmentation algorithm based on multi-frames difference.
文章介绍了基于内容的时域及空域视频分割技术，提出了一种基于多帧差异的视频对象分割算法。
For video temporal segmentation, a so-called "robustness criterion" is proposed to evaluate shot boundary detection algorithms.
论文为视频切变检测算法提出了“鲁棒性”评价准则，指出好的算法应该有较强的推广能力。
In this paper, an unsupervised online temporal segmentation algorithm is presented, and then the segmentation result is recognized by HMM.
提出了一种无监督的行为序列分割算法，并对分割结果进行识别。
Temporal segmentation results are recognized by HMM finally.
最后，采用隐马尔可夫模型（HMM）对分割结果进行识别。
Temporal segmentation was based on change detection, whose key factor was the selection of appropriate threshold by histogram analysis.
时间分割采用变化检测，其关键的阈值选取通过直方图分析得到。
Temporal segmentation was based on change detection. Its key was the selection of appropriate threshold, which was obtained by histogram analysis.
时间分割采用变化检测，其关键的阈值选取通过直方图分析得到。
Temporal segmentation was based on change detection. Its key was the selection of appropriate threshold, which was obtained by histogram analysis.
时间分割采用变化检测，其关键的阈值选取通过直方图分析得到。
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