This paper studies a technology of video summarization.
研究了有效的视频摘要技术。
The approach is an attempt to broaden the research of automatic video summarization.
这种方法是拓宽视频摘要技术研究思路的一个有益的尝试。
This paper presents a novel method to generate video summarization based on sketches.
提出了一种基于草图的视频摘要生成方法。
The scalable video summarization to fine level of detail can be achieved by changing the threshold of important function.
改变重要性函数阈值的大小，可以很方便的得到不同粒度的视频摘要。
As a brief representation of video content, video summarization can effectively assist users' browsing and organizing video clips.
视频摘要作为一种视频内容的简要表示，能够有效地增强用户浏览和组织视频的效率。
In this paper, we propose a unified approach for film video summarization based on the analysis of video structure and motion attention model.
提出了一种基于运动注意力模型的电影视频摘要生成方法。
The shot key frames are classified by SVM and the frames constructing the video summarization are selected from the shot key frames of every class by the importance function introduced.
利用支持向量机对镜头关键帧进行语义分类，对每类镜头关键帧根据引入的镜头“重要性”函数提取构建视频摘要的帧。
Considering the lack of a unified generation model of news video summarization, the thesis proposes an extensible model called EDU, which is the abbreviation of Entity-Description-Utility.
提出了新闻视频摘要的“实体-描述-效用”模型(简称EDU模型)，设计实现了基于EDU模型的新闻视频摘要方法。
Considering the lack of a unified generation model of news video summarization, the thesis proposes an extensible model called EDU, which is the abbreviation of Entity-Description-Utility.
提出了新闻视频摘要的“实体-描述-效用”模型(简称EDU模型)，设计实现了基于EDU模型的新闻视频摘要方法。
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