NewsLab:探索性广播新闻视频分析

M. Ghoniem, Dongning Luo, Jing Yang, W. Ribarsky
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引用次数: 34

摘要

在本文中,我们介绍了NewsLab,这是一种探索性的可视化方法,用于分析包含数千个新闻故事的大规模广播新闻视频集合。用河流的比喻来描述新闻的主题随时间的变化。交互式镜头隐喻允许通过河流概览选择细粒度视频片段进行回放。通过分层时间结构和分层主题结构支持多分辨率导航。可以根据主题结构分层探索主题,也可以使用各种排名标准以非结构化方式探索主题。还提供了一组丰富的交互,如过滤、下钻/上卷导航、历史动画和基于关键字的搜索。我们的案例研究展示了如何使用这组工具来查找新闻中的新主题,比较不同的广播公司,或者挖掘感兴趣的新闻主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NewsLab: Exploratory Broadcast News Video Analysis
In this paper, we introduce NewsLab, an exploratory visualization approach for the analysis of large scale broadcast news video collections containing many thousands of news stories over extended periods of time. A river metaphor is used to depict the thematic changes of the news over time. An interactive lens metaphor allows the playback of fine-grained video segments selected through the river overview. Multi-resolution navigation is supported via a hierarchical time structure as well as a hierarchical theme structure. Themes can be explored hierarchically according to their thematic structure, or in an unstructured fashion using various ranking criteria. A rich set of interactions such as filtering, drill-down/roll-up navigation, history animation, and keyword based search are also provided. Our case studies show how this set of tools can be used to find emerging topics in the news, compare different broadcasters, or mine the news for topics of interest.
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