Exploiting Topic Thread Structures in a News Video Archive for the Semi-Automatic Generation of Video Summaries
Exploiting Topic Thread Structures in a News Video Archive for the Semi-Automatic Generation of Video Summaries
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DOI：
10.1109/icme.2006.262820
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发表时间：
2006-07
期刊：
影响因子：
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通讯作者：
I. Ide;Hiroshi Mo;Norio Katayama;S. Satoh
中科院分区：
文献类型：
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作者：
I. Ide;Hiroshi Mo;Norio Katayama;S. Satoh
我们提出了一种半自动合成视频故事的方法，该方法通过将新闻视频档案中的单个故事沿着基于主题的语义结构(即主题线索)连接起来。我们介绍了实现构图的方法，即故事分段、主题线索和聚类。然后，我们在初步测试的基础上对提出的方法进行评估。由于线索结构反映了现实世界中话题的发展，我们认为合成的新闻视频故事应该有效地让用户对当前感兴趣的话题有更深入的了解
We propose a method that semi-automatically composes video stories by connecting individual stories in a news video archive along a topic-based semantic structure, namely the topic thread. We introduce the methods to realize the composition, namely, story segmentation, topic threading and clustering. We then evaluate the proposed approach based on preliminary tests. Since the thread structure reflects the development of topics in the real-world, we believe that the composed news video story should be effective for the user to gain a deeper understanding of the current topic of interest