基于SNS对新闻报道反应的新闻主题视频摘要生成

Proceedings of the Fourth International Workshop on Crowdsourcing for Multimedia Pub Date : 2015-10-30 DOI:10.1145/2810188.2810189

Kosuke Kato, I. Ide, Daisuke Deguchi, H. Murase

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引用次数: 2

摘要

存档新闻视频很重要，因为它们积累了有价值的现实信息。在利用它们时，重要的是跟踪新闻主题的流动，以彻底了解它们。为了做到这一点，过去已经提出了一种构建新闻故事之间时间语义关系的方法，即“主题线索结构”。然而，仅仅观看构成这种结构的视频就会迫使用户花费很长时间观看详细的报告。另一方面，社交网络服务(SNS)已经变得非常流行。社交网络用户经常在看电视的同时发送和接收自己感兴趣的信息。因此，我们提出了一种基于SNS用户的反应，从一般用户的角度自动生成新闻主题视频摘要的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Generation of a Video Summary on a News Topic Based on SNS Responses to News Stories

Archiving news videos is important since they accumulate valuable real-world information. When exploiting them, it is important to track the flow of news topics to understand them thoroughly. In order to do so, a method that structures the chronological semantic relations between news stories, namely the "topic thread structure" has been proposed in the past. However, simply viewing videos that compose this structure imposes a user to spend a long time watching detailed reports. On the other hand, Social Networking Services (SNS) have become very popular. SNS users often send and receive information in which they are interested while watching TV. Thus, we propose a method that automatically generates a video summary on a news topic from the general users' viewpoint based on responses of SNS users.

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Proceedings of the Fourth International Workshop on Crowdsourcing for Multimedia

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