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NewsBR: A Content-Based News Video Browsing and Retrieval System
Wuhan, China September 14-September 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357302Fourth International Conference on Co ...
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Jiping Liu, Yanxiang He, Min Peng, "NewsBR: A Content-Based News Video Browsing and Retrieval System," Computer and Information Technology, International Conference on, pp. 857-862, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.
 
 
BibTex
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@article{ 10.1109/CIT.2004.1357302,
author = {Jiping Liu and Yanxiang He and Min Peng},
title = {NewsBR: A Content-Based News Video Browsing and Retrieval System},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2216-5},
pages = {857-862},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357302},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - NewsBR: A Content-Based News Video Browsing and Retrieval System
SN - 0-7695-2216-5
SP857
EP862
A1 - Jiping Liu,
A1 - Yanxiang He,
A1 - Min Peng,
PY - 2004
KW - Content-based video browsing and retrieval; news story segmentation; audio-visual features analysis; caption recognition
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Jiping Liu, Wuhan University
Yanxiang He, Wuhan University
Min Peng, Wuhan University
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 segentation 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 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.
Index Terms:
Content-based video browsing and retrieval; news story segmentation; audio-visual features analysis; caption recognition
Citation:
Jiping Liu, Yanxiang He, Min Peng, "NewsBR: A Content-Based News Video Browsing and Retrieval System," cit, pp.857-862, Fourth International Conference on Computer and Information Technology (CIT'04), 2004
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