网络上日本图片新闻文章中的面孔和名字的关联

22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008) Pub Date : 2008-03-25 DOI:10.1109/WAINA.2008.97

Akio Kitahara, Taichi Joutou, Keiji Yanai

{"title":"网络上日本图片新闻文章中的面孔和名字的关联","authors":"Akio Kitahara, Taichi Joutou, Keiji Yanai","doi":"10.1109/WAINA.2008.97","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":170418,"journal":{"name":"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Associating Faces and Names in Japanese Photo News Articles on the Web\",\"authors\":\"Akio Kitahara, Taichi Joutou, Keiji Yanai\",\"doi\":\"10.1109/WAINA.2008.97\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":170418,\"journal\":{\"name\":\"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WAINA.2008.97\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2008.97","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

本文提出了一种从带有图片的新闻文章中提取人脸和人名并自动关联的系统。该系统使用人脸检测器检测新闻照片中的人脸图像，并使用形态学分析仪从新闻文本中提取人名。此外，对提取的人脸图像应用关键点袋技术，滤除非人脸图像。该系统使用特征脸表示作为提取人脸的图像特征，并在特征脸子空间中通过改进的k-means聚类将其与提取的名称关联起来。在实验中，我们获得了66%的面孔和名字的关联准确率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)

自引率

0.00%

发文量