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Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
AnchorClu: An Anchorperson Shot Detection Method Based on Clustering
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
ASCII Text
x 
 
Xi-Dao LUAN, Yu-Xiang XIE, Ling-Da WU, Jun WEN, Song-Yang LAO, "AnchorClu: An Anchorperson Shot Detection Method Based on Clustering," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 840-844, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.90,
author = {Xi-Dao LUAN and Yu-Xiang XIE and Ling-Da WU and Jun WEN and Song-Yang LAO},
title = {AnchorClu: An Anchorperson Shot Detection Method Based on Clustering},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {840-844},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.90},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - AnchorClu: An Anchorperson Shot Detection Method Based on Clustering
SN - 0-7695-2405-2
SP840
EP844
A1 - Xi-Dao LUAN,
A1 - Yu-Xiang XIE,
A1 - Ling-Da WU,
A1 - Jun WEN,
A1 - Song-Yang LAO,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Xi-Dao LUAN, National University of Defense Technology, Changsha, China
Yu-Xiang XIE, National University of Defense Technology, Changsha, China
Ling-Da WU, National University of Defense Technology, Changsha, China
Jun WEN, National University of Defense Technology, Changsha, China
Song-Yang LAO, National University of Defense Technology, Changsha, China
Anchorperson shot detection is an effective way of news video structuring. According to some features of anchorperson shots, such as visually similar with each other, long duration, and large span, etc., an anchorperson shot detection method based on clustering called AnchorClu is proposed. After fast clustering of shots? key frames, some clusters including the anchorperson cluster can be got. Then by some proper rules, the anchorperson cluster is selected out, and the anchorperson shots can also be extracted to help the analysis of news video structuring. Experiments prove the effectiveness of the method, which is fast and gets the average recall of 93% and the average precision of 98%.
Citation:
Xi-Dao LUAN, Yu-Xiang XIE, Ling-Da WU, Jun WEN, Song-Yang LAO, "AnchorClu: An Anchorperson Shot Detection Method Based on Clustering," pdcat, pp.840-844, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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