NewsBR: a content-based news video browsing and retrieval system

Author

Huayong, Liu ; Dongru, Zhou

Author_Institution

Dept. of Comput. Sci., Wuhan Univ., China

Volume

2

fYear

2003

fDate

18-20 Sept. 2003

Firstpage

793

Abstract

An advanced content-based news video browsing and retrieval system, NewsBR, is proposed in this work. The system is built on high-accuracy news story segmentation and topic caption text extraction. Its main features include category-based news story browsing, key-frame-based video abstract and keyword-based news story retrieval. In the paper, news story segmentation and topic caption text extraction, as well as content-based video browsing and retrieval, are addressed in detail. The system is helpful and effective for the overall understanding of the news video content.

Keywords

content-based retrieval; feature extraction; image retrieval; image segmentation; text analysis; video signal processing; category news story browsing; content-based news video browsing; key-frame video abstract; keyword-news story retrieval; news story segmentation; topic caption text extraction; Computer science; Content based retrieval; Data mining; Detection algorithms; Feature extraction; Image analysis; Image retrieval; Internet; Libraries; TV;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on

Print_ISBN

953-184-061-X

Type

conf

DOI

10.1109/ISPA.2003.1296385

Filename

1296385