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

doi:10.1145/860500.860541

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 journal › Conference article › peer-review

21 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	441-442
Number of pages	2
Journal	SIGIR Forum (ACM Special Interest Group on Information Retrieval)
Issue number	SPEC. ISS.
DOIs	https://doi.org/10.1145/860500.860541
Publication status	Published - 2003
Externally published	Yes
Event	Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada Duration: 2003 Jul 28 → 2003 Aug 1

Keywords

Automatic Speech Recognition
Content Indexing
Metadata Generation
Topic Segmentation

ASJC Scopus subject areas

Management Information Systems
Hardware and Architecture

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10.1145/860500.860541

Cite this

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title = "Speech-Based and Video-Supported Indexing of Multimedia Broadcast News",

abstract = "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.",

keywords = "Automatic Speech Recognition, Content Indexing, Metadata Generation, Topic Segmentation",

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year = "2003",

doi = "10.1145/860500.860541",

language = "English",

pages = "441--442",

journal = "SIGIR Forum (ACM Special Interest Group on Information Retrieval)",

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publisher = "Association for Computing Machinery (ACM)",

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T1 - Speech-Based and Video-Supported Indexing of Multimedia Broadcast News

AU - Hayashi, Yoshihiko

AU - Ohtsuki, Katsutoshi

AU - Bessho, Katsuji

AU - Mizuno, Osamu

AU - Matsuo, Yoshihiro

AU - Matsunaga, Shoichi

AU - Hayashi, Minoru

AU - Hasegawa, Takaaki

AU - Ikeda, Naruhiro

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

KW - Automatic Speech Recognition

KW - Content Indexing

KW - Metadata Generation

KW - Topic Segmentation

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DO - 10.1145/860500.860541

M3 - Conference article

AN - SCOPUS:1542317623

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SP - 441

EP - 442

JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

IS - SPEC. ISS.

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Y2 - 28 July 2003 through 1 August 2003

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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