摘要
数字美术馆是美术作品收藏、展示、欣赏、销售及查询的基本组织形式。传统基于文本的图像检索技术只能查询文本信息而无法检索图像本身的内容。基于内容的图像检索技术应运而生。本文结合上述两种检索方式,设计和实现了一种美术作品查询系统,能够满足多元的检索需求。
Digital art gallery is the basic organizational form of paintings' collection, exhibition, apprecia- tion, sales and inquiries. Only text informationcan be queried in traditional text -based image retrieval technology. However, contents of the image itself can not be searched. So, content - based image retrieval technology emerged. With the combination of these two retrieval methods, an art works searching system is designed and implemented in this paper, which can meet diverse retrieval requirement.
出处
《中国传媒大学学报(自然科学版)》
2012年第3期70-77,共8页
Journal of Communication University of China:Science and Technology
基金
中央科研院所科研专项:民族民间艺术数字化传承与保护-数字美术馆检索技术研究(HG0916)
关键词
基于内容的图像检索技术
特征提取
特征匹配
图像数据库
content - based image retrieval technology
feature extraction
feature matching
image data-base