Integrating web information to generate chinese video summaries

Yue Shi Lee, Yu Chieh Wu, Chia Hui Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Text summarization is a well-known and developed research topic, which aims to extract the informative sentences to form a small story instead of a full document. Traditional text summarization techniques focus on summarizing news articles. However, these techniques could not directly apply to video films. Video summarization is a new research topic that is able to handle different media types and using text summarization techniques to produce a video summary. This paper proposes a video summarization system that extracts important summaries from a given video via expanding lexical information from web. The experiments show that the web information can help us to generate human-readable summaries even the OCR recognition rate is limited.

Original languageEnglish
Title of host publication17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005
Pages514-519
Number of pages6
StatePublished - 2005
Event17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005 - Taipei, Taiwan
Duration: 14 Jul 200516 Jul 2005

Publication series

Name17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005

Conference

Conference17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005
Country/TerritoryTaiwan
CityTaipei
Period14/07/0516/07/05

Keywords

  • Natural language processing
  • Text summarization
  • Video summarization
  • Web information

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