摘要
提出了一种基于新闻环境的人物肖像检索方案.该方案可从新闻中找到相关人物的描述,并以此作为人物的背景信息,对现有的通用图像搜索引擎的检索结果过滤,再通过人脸检测技术以及多媒体信息检索方法,最终找到新闻人物最佳的肖像图像,并在此基础上展示了一种新的互联网新闻表示方法.实验证明,该方法能够比较准确地得到新闻人物的肖像表示,而且以新闻人物的肖像作为互联网新闻表示中的一个补充对提高读者的新闻阅读兴趣和阅读效率都有一定帮助.
A novel solution for personal portrait search is provided based on the content of news report. Firstly, named entities（NE） and associated keywords were extracted from the news. Then queries formed by NE were issued to general image search to get candidate images. Finally, two steps of filtering were deployed to get the optimal portait as filtering with keywords associated with the NE to get images actually relevant to the person in the news and face detection to get optimal portrait. Preliminary experiments show that tiffs solution works well on getting portrait for a person in news, and what＇s more, displaying portraits beside the news content isa very helpful feature to enhance readers＇ efficiency of news reading and help them focus on interested news much easier.
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2006年第3期115-119,127,共6页
Journal of Shandong University(Natural Science)
基金
多媒体计算与通信教育部-微软重点实验室开放课题基金资助项目(05071804)
关键词
信息检索
图像检索
人物肖像
新闻浏览
人脸检测
information retrieval
image retrieval
personal portrait
news browsing
face detection
