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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



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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Research Themes

Latest Seminar
Mr Antonello Meloni
Department of Mathematics and Computer Science, University of Cagliari, IT

Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark

Watch the live webcast


Research Assistant / Associate

Knowledge Media Institute (KMi)
£32,348 to £38,474
Based in Milton Keynes
Full time temporary contract until January 2026

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University, Milton Keynes campus. The role...


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

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