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Associating Faces and Names in Japanese Photo News Articles on the Web
March 25-March 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WAINA.2008.9722nd International Conference on Adva ...
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Akio Kitahara, Taichi Joutou, Keiji Yanai, "Associating Faces and Names in Japanese Photo News Articles on the Web," Advanced Information Networking and Applications Workshops, International Conference on, pp. 1156-1161, 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WAINA.2008.97,
author = {Akio Kitahara and Taichi Joutou and Keiji Yanai},
title = {Associating Faces and Names in Japanese Photo News Articles on the Web},
journal ={Advanced Information Networking and Applications Workshops, International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3096-3},
pages = {1156-1161},
doi = {http://doi.ieeecomputersociety.org/10.1109/WAINA.2008.97},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Information Networking and Applications Workshops, International Conference on
TI - Associating Faces and Names in Japanese Photo News Articles on the Web
SN - 978-0-7695-3096-3
SP1156
EP1161
A1 - Akio Kitahara,
A1 - Taichi Joutou,
A1 - Keiji Yanai,
PY - 2008
KW - null
VL - 0
JA - Advanced Information Networking and Applications Workshops, International Conference on
ER -
 
We propose a system which extracts faces and person names from news articles with photos on the Web and associates them automatically. The system detects face images in news photos with a face detector and extracts person names from news text with a morphological analyzer. In addition, the bag-of-keypoints technique is applied to the extracted face images for filtering out non-face images. The system uses the eigenface representation as image features of the extracted faces, and associates them with the extracted names by the modified k-means clustering in the eigenface subspace. In the experiment, we obtained the 66% precision rate regarding association of faces and names.
Citation:
Akio Kitahara, Taichi Joutou, Keiji Yanai, "Associating Faces and Names in Japanese Photo News Articles on the Web," ainaw, pp.1156-1161, 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008), 2008
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