Associating faces and names in japanese photo news articles

被引：0
|
作者：
Kitahara A. [1 ]
Yanai K. [1 ]
机构：
[1] The University of Electro-Communications, Japan
来源：
Progress in Informatics | 2010年 / 07期
关键词：
Associating names and faces; Eigenface; Face detection; Face recognition; Name extraction; Web photo news;
D O I：
10.2201/NiiPi.2010.7.8
中图分类号：
学科分类号：
摘要：
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 representation 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 at most regarding association of faces and names. © 2010 National Institute of Informatics.
引用
收藏
页码：63 / 70
页数：7
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