Title :
NewsBR: a content-based news video browsing and retrieval system
Author :
Liu, Jiping ; He, Yanxiang ; Peng, Min
Author_Institution :
Sch. of Comput., Wuhan Univ., China
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 segmentation; information retrieval systems; video signal processing; NewsBR; audio-visual features analysis; caption recognition; category-based news story browsing; content-based news retrieval system; content-based news video browsing; high-accuracy news story segmentation; key-frame-based video abstract; keyword-based news story retrieval; topic caption text extraction; Content based retrieval; Feature extraction;
Conference_Titel :
Computer and Information Technology, 2004. CIT '04. The Fourth International Conference on
Print_ISBN :
0-7695-2216-5
DOI :
10.1109/CIT.2004.1357302
