A TV news retrieval system with interactive query function

Author

Ariki, Yasuo ; Sugiyama, Yoshiaki

Author_Institution

Dept. of Electron. & Inf., Ryukoku Univ., Ohtsu, Japan

fYear

1997

fDate

24-27 Jun 1997

Firstpage

184

Lastpage

192

Abstract

The paper describes a system which can automatically classify TV news articles using a keyword spotting technique and can also answer queries from users interactively. The keyword spotting technique can extract a keyword sequence with their probabilities and the extracted keywords are attached to the article for retrieval. The TV news article can be classified into topics such as politics, economy, science and so on by integrating acoustic keyword probability and topic contribution probability of the keyword, which is the probability of how a keyword contributes to classify the article. TV news is retrieved by speech including the keywords attached to the articles. The system is also installed with a query-answering function that can answer user queries of unfamiliar words included in TV news speech

Keywords

classification; probability; query processing; speech recognition; visual databases; TV news retrieval system; TV news speech; acoustic keyword probability; automatic TV news article classification; interactive query function; keyword sequence extraction; keyword spotting technique; query answering function; topic contribution probability; unfamiliar words; Bidirectional control; Databases; Indexing; Informatics; Information retrieval; Joining processes; Keyboards; Speech; TV broadcasting; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Cooperative Information Systems, 1997. COOPIS '97., Proceedings of the Second IFCIS International Conference on

Conference_Location

Kiawah Island, SC

Print_ISBN

0-8186-7946-8

Type

conf

DOI

10.1109/COOPIS.1997.613815

Filename

613815