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Champion: Stefan Rueger
Professor of Knowledge Media Email Icon RDF Icon

Participant(s):Marcus Pickering, Lawrence Wong

Timeline:21 Sep 2006

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ANSES

Automatic News Summarization and Extraction System

'Watch the news while I was away and tell me what happened.'

This project combines a Video scene change algorithm, with the current text segmentation and summarization techniques to build an automatic news summarization and extraction system.

Television broadcast news are captured both in Video/Audio format with the accompanying subtitles in text format. News stories are identified, extracted from the video, and summarized in a short paragraph which reduces the amount of information into a manageable size. Individual news video clips can be retrieved effectively by a combination of video and text, using a reversed indexed search engine to provide distilled information such as a summarized version of the orginal text and highlights important key words in the text.

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Project Officer - Data Hub Development

Knowledge Media Institute (KMi)
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The Open University's Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). KMi is looking for a Project Officer...

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Knowledge Media Institute (KMi)
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The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMI is looking for a Web...

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Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

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