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19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 2 (INA,, USW,, WAMIS,, and IPv6 papers)
A Hierarchical and Multi-Model Based Algorithm for Lead Detection and News Program Narrative Parsing
Taipei, Taiwan
March 25-March 30
ISBN: 0-7695-2249-1
ASCII Text
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Jin-Hau Kuo, Jen-Bin Kuo, Hsuan-Wei Chen, Ja-Ling Wu, "A Hierarchical and Multi-Model Based Algorithm for Lead Detection and News Program Narrative Parsing," Advanced Information Networking and Applications, International Conference on, vol. 2, pp. 511-514, 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 2 (INA,, USW,, WAMIS,, and IPv6 papers), 2005.
 
 
BibTex
x
 
@article{ 10.1109/AINA.2005.27,
author = {Jin-Hau Kuo and Jen-Bin Kuo and Hsuan-Wei Chen and Ja-Ling Wu},
title = {A Hierarchical and Multi-Model Based Algorithm for Lead Detection and News Program Narrative Parsing},
journal ={Advanced Information Networking and Applications, International Conference on},
volume = {2},
year = {2005},
issn = {1550-445X},
pages = {511-514},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2005.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Information Networking and Applications, International Conference on
TI - A Hierarchical and Multi-Model Based Algorithm for Lead Detection and News Program Narrative Parsing
SN - 1550-445X
SP511
EP514
A1 - Jin-Hau Kuo,
A1 - Jen-Bin Kuo,
A1 - Hsuan-Wei Chen,
A1 - Ja-Ling Wu,
PY - 2005
KW - null
VL - 2
JA - Advanced Information Networking and Applications, International Conference on
ER -
 
Jin-Hau Kuo, National Taiwan University
Jen-Bin Kuo, National Taiwan University
Hsuan-Wei Chen, National Taiwan University
Ja-Ling Wu, National Taiwan University
In this paper, a hierarchical and multi-modal based news item detection algorithm, which can be viewed as a mid-stage solution between the single-modal and the semantic-based approaches, is proposed for parsing TV news program videos. We investigate the production model of TV news program first and then make use of the so-obtained domain knowledge to develop the proposed algorithm. With the add of multi-modal features, such as volume and zero crossing rate in audios and key frame and human face in videos, the proposed algorithm showed rather satisfactory results in both precision and recall measures for parsing a 6-hour news program test video.
Citation:
Jin-Hau Kuo, Jen-Bin Kuo, Hsuan-Wei Chen, Ja-Ling Wu, "A Hierarchical and Multi-Model Based Algorithm for Lead Detection and News Program Narrative Parsing," aina, vol. 2, pp.511-514, 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 2 (INA,, USW,, WAMIS,, and IPv6 papers), 2005
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