News Shot Cloud: Ranking TV News Shots by Cross TV-Channel Filtering for Efficient Browsing of Large-Scale News Video Archives
News Shot Cloud: Ranking TV News Shots by Cross TV-Channel Filtering for Efficient Browsing of Large-Scale News Video Archives
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DOI：
10.1007/978-3-642-17832-0_27
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发表时间：
2011-01
期刊：
影响因子：
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通讯作者：
Norio Katayama;Hiroshi Mo;S. Satoh
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文献类型：
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作者：
Norio Katayama;Hiroshi Mo;S. Satoh
电视新闻节目是人们日常生活中的主要信息来源之一，是多媒体内容分析的重要对象。随着计算机存储成本的显著降低，今天我们可以对大量的电视新闻节目进行数字存档。另一方面，随着档案规模的扩大，浏览和利用视频档案的成本也显著增加。为了解决这个问题，我们提出了一个可视化的方法，电视新闻镜头使用基于流行度的过滤在多个电视频道。这种方法可以被视为电视广播公司的社交过滤或电视频道之间的流行度排名。为了检验我们的方法的有效性，我们进行了一个实验，对一千小时的订单视频档案存储6个电视频道流一个月之久。据我们所知，还没有以前的工作，将此方案应用于这样一个庞大的档案进行定量评估。
TV news programs are important target of multimedia content analysis since they are one of major information sources for ordinary daily lives. Since the computer storage cost has reduced significantly, today we can digitally archive a huge amount of TV news programs. On the other hand, as the archive size grows larger, the cost for browsing and utilizing video archives also increases significantly. To circumvent this problem, we present a visualization method of TV news shots using the popularity-based filtering across multiple TV channels. This method can be regarded as social filtering by TV broadcasters or popularity ranking among TV channels. In order to examine the effectiveness of our approach, we conducted an experiment against a thousand-hour order video archive storing 6 TV-channel streams for one month long. To our best knowledge, there is no former work applying this scheme to such a huge archive with conducting quantitative evaluation.