An evaluation system for news video streams and blogs

D. Kitayama, K. Sumiya
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引用次数: 5

Abstract

When we want information on current events, we often view news programs on TV or news streams on Web sites. A news video stream consists of several scenes, and viewers often gain a broad understanding of the news by viewing scenes in the given order. Since a viewer's opinion of a news topic will depend on the scene order, we have developed a method for extracting blog entries expressing a particular point of view regarding news topics where we use a form of evaluation and categorization similar to that based on news scene order. In this paper, we describe our method of news evaluation based on news scene order and explain how a blog search can be done using a news stream.
新闻视频流和博客的评估系统
当我们想要了解时事时,我们经常在电视上观看新闻节目或在网站上观看新闻流。新闻视频流由几个场景组成,观众通常通过按照给定的顺序观看场景来获得对新闻的广泛理解。由于观众对新闻主题的看法取决于场景顺序,因此我们开发了一种方法,用于提取表达有关新闻主题的特定观点的博客条目,其中我们使用类似于基于新闻场景顺序的评估和分类形式。在本文中,我们描述了基于新闻场景顺序的新闻评估方法,并解释了如何使用新闻流来完成博客搜索。
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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