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Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-Scale News Video Archive

机译:大型新闻视频档案库中基于时间顺序语义结构的新闻主题高效跟踪

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Recent advance in digital storage technology has enabled us to archive a large volume of video data. Thanks to this trend, we have archived more than 1,800 hours of video data from a daily Japanese news show in the last ten years. When considering the effective use of such a large news video archive, we assumed that analysis of its chronological and semantic structure becomes important. We also consider that providing the users with the development of news topics is more important to help their understanding of current affairs, rather than providing a list of relevant news stories as in most of the current news video retrieval systems. Therefore, in this paper, we propose a structuring method for a news video archive, together with an interface that visualizes the structure, so that users could track the development of news topics according to their interest, efficiently. The proposed news video structure, namely the “topic thread structure”, is obtained as a result of an analysis of the chronological and semantic relation between news stories. Meanwhile, the proposed interface, namely “mediaWalker II”, allows users to track the development of news topics along the topic thread structure, and at the same time watch the video footage corresponding to each news story. Analyses on the topic thread structures obtained by applying the proposed method to actual news video footages revealed interesting and comprehensible relations between news topics in the real world. At the same time, analyses on their size quantified the efficiency of tracking a user's topic-of-interest based on the proposed topic thread structure. We consider this as a first step towards facilitating video authoring by users based on existing contents in a large-scale news video archive.
机译:数字存储技术的最新发展使我们能够存档大量视频数据。由于这一趋势,过去十年来,我们每天从日本的新闻节目中存档了1800多个小时的视频数据。当考虑有效利用如此庞大的新闻视频档案时,我们认为对其时间和语义结构的分析变得很重要。我们还认为,向用户提供新闻主题的发展对于帮助他们理解时事更为重要,而不是像大多数当前新闻视频检索系统那样提供相关新闻报道的列表。因此,在本文中,我们提出了一种新闻视频档案的结构化方法,以及一个可视化结构的界面,以便用户可以根据自己的兴趣有效地跟踪新闻主题的发展。通过分析新闻故事之间的时间顺序和语义关系,获得了建议的新闻视频结构,即“主题线程结构”。同时,建议的界面,即“ mediaWalker II”,使用户可以沿着主题线程结构跟踪新闻主题的发展,同时观看与每个新闻故事相对应的视频录像。通过将建议的方法应用于实际新闻视频素材而获得的主题线程结构的分析揭示了现实世界中新闻主题之间有趣且可理解的关系。同时,根据建议的主题线程结构,对它们的大小进行分析可以量化跟踪用户的关注主题的效率。我们认为这是促进用户根据大型新闻视频档案中现有内容进行视频创作的第一步。

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