ANSES: summarisation of news video

Authors:
Marcus J. Pickering;Lawrence Wong;Stefan M. Rüger
Affiliations:
Department of Computing, South Kensington Campus, Imperial College London, UK;Department of Computing, South Kensington Campus, Imperial College London, UK;Department of Computing, South Kensington Campus, Imperial College London, UK
Venue:
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Year:
2003

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Abstract

We describe the Automatic News Summarisation and Extraction System (ANSES), which captures television news each day with the accompanying subtitles and identifies and extracts news stories from the video. Lexical chain analysis is used to provide a summary of each story and important entities are highlighted in the text.