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  <title>The SouthEast Regional Visualization and Analytics Center</title>
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  <updated>2007-08-01T14:19:58-04:00</updated>
  <entry>
    <title>Automated, Intelligent Broadcast Video Content Analysis</title>
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    <id>http://srvac.eagereyes.com/research/contentAnalysis.html</id>
    <published>2007-08-01T12:41:55-04:00</published>
    <updated>2007-08-01T14:19:58-04:00</updated>
    <author>
      <name>Anonymous</name>
    </author>
    <summary type="html"><![CDATA[<p><img style="width: 479px; height: 579px" src="/files/shared/HotTopics.png" alt="" hspace="20" vspace="10" width="479" height="579" align="left" />A multimodal data analysis is applied to concurrent visual signals, auditory signals, and, when available, closed caption text. The analysis is general and unstructured; it can be applied, for example, to broadcast video in any language. We have applied the analysis to automatically identify and segment news broadcasts. However, the methods can be applied to identify and segment other broadcast types as well. The methods break the news broadcast stream into separate stories and also determine key frames for each story. When closed captions are available, each story can be labeled with its topic. The story segmentation is robust and has been applied to broadcasts in both Japanese and English. For the latter we have assembled a very large and rich collection over multiple months. </p>
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