Speech-Based and Video-Supported Indexing of Multimedia Broadcast News

Yoshihiko Hayashi*, Katsutoshi Ohtsuki, Katsuji Bessho, Osamu Mizuno, Yoshihiro Matsuo, Shoichi Matsunaga, Minoru Hayashi, Takaaki Hasegawa, Naruhiro Ikeda

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

21 Citations (Scopus)


This paper describes an automatic content indexing system for news programs, with a special emphasis on its segmentation process. The process can successfully segment an entire news program into topic-centered news stories; the primary tool is a linguistic topic segmentation algorithm. Experiments show that the resulting speech-based segments are fairly accurate, and scene change points supplied by an external video processor can be of help in improving segmentation effectiveness.

Original languageEnglish
Pages (from-to)441-442
Number of pages2
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Issue numberSPEC. ISS.
Publication statusPublished - 2003
Externally publishedYes
EventProceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada
Duration: 2003 Jul 282003 Aug 1


  • Automatic Speech Recognition
  • Content Indexing
  • Metadata Generation
  • Topic Segmentation

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture


Dive into the research topics of 'Speech-Based and Video-Supported Indexing of Multimedia Broadcast News'. Together they form a unique fingerprint.

Cite this