Referenced Items are not available for this document.
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.
Published in:
Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008. 22nd International Conference on
Date of Conference: 25-28 March 2008
- Page(s):
- 1156 - 1161
- Print ISBN:
- 978-0-7695-3096-3
- INSPEC Accession Number:
- 9912890
- Conference Location :
- Okinawa
- Digital Object Identifier :
- 10.1109/WAINA.2008.97
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