A Social Network Analysis of Face Tracking in News Video
A Social Network Analysis of Face Tracking in News Video
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DOI：
10.1109/sitis.2015.30
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发表时间：
2015-11
期刊：
影响因子：
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通讯作者：
B. Renoust;T. Ngo;Duy-Dinh Le;S. Satoh
中科院分区：
文献类型：
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作者：
B. Renoust;T. Ngo;Duy-Dinh Le;S. Satoh
在数据处理时代，新闻视频是丰富的信息宝库。毕竟，新闻本质上是为了向公众传递信息而创造的。但是，我们能否超越直接呈现给我们的东西，看到更广阔的图景呢？许多作品已经开始关注我们从多年的新闻广播分析中发现和理解的东西。这些分析带来了公众人物活动的监测和理解，政治策略，解释甚至预测关键的媒体事件。这些工具可以帮助公众人物管理他们的公众形象，也可以支持记者、社会科学家和其他媒体专家的工作。新闻分析也可以从复杂系统的角度来看，随着时间的推移，它收集了许多类型的实体、属性和交互。由于许多公众人物介入了不同的新闻报道，第一个有趣的任务是观察这些角色之间的社会互动。为了实现这一目标，我们建议使用视频分析来自动化直接从新闻视频档案构建社交网络的过程。本文介绍了一个从新闻视频中的人脸检测中提取多个社交网络的系统。我们提出了初步的结果，从这些网络监测的活动超过100个公众人物超过十年的NHK新闻档案的分析。
In the age of data processing, news videos are rich mines of information. After all, the news are essentially created to convey information to the public. But can we go beyond what is directly presented to us and see a wider picture? Many works already focus on what we can discover and understand from the analysis of years of news broadcasting. These analysis bring monitoring and understanding of the activity of public figures, political strategies, explanation and even prediction of critical media events. Such tools can help public figures in managing their public image, as well as support the work of journalists, social scientists and other media experts. News analysis can be also seen from the lens of complex systems, gathering many types of entities, attributes and interactions over time. As many public figures intervene in different news stories, a first interesting task is to observe the social interactions between these actors. Towards this goal, we propose to use video analysis to automatise the process of constructing social networks directly from news video archives. In this paper we are introducing a system deriving multiple social networks from face detections in news video. We present preliminary results obtained from analysis of these networks monitoring of the activity of more than a hundred public figures over a decade of the NHK news archives.