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

*この研究の対応する著者

研究成果: Conference article査読

21 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)441-442
ページ数2
ジャーナルSIGIR Forum (ACM Special Interest Group on Information Retrieval)
SPEC. ISS.
DOI
出版ステータスPublished - 2003
外部発表はい
イベントProceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada
継続期間: 2003 7 282003 8 1

ASJC Scopus subject areas

  • 管理情報システム
  • ハードウェアとアーキテクチャ

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