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2008
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Associating Faces and Names in Japanese Photo News Articles on the Web

8 years 11 months ago
Associating Faces and Names in Japanese Photo News Articles on the Web
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.
Akio Kitahara, Taichi Joutou, Keiji Yanai
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where AINA
Authors Akio Kitahara, Taichi Joutou, Keiji Yanai
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