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.

• Type: Conference
• Year: 2008
• Where: AINA
• Authors: Akio Kitahara, Taichi Joutou, Keiji Yanai
• Keywords: AINA 2008, Computer Networks, Extracted Faces, Face Images, Person Names