现代电子技术2017，Vol.40Issue(21)：62-65,4.DOI:10.16652/j.issn.1004-373x.2017.21.017
基于兴趣点检测的视觉关键词提取新方法研究
Study on visual keywords extraction new method based on points of interest detection
摘要
Abstract
The content-based image retrieval has a prominent problem of extracting the global feature of the whole image, however the users usually pay close attention to the local region in an image. For the massive database,the extraction of the image′s global feature makes the information quantity of the database increase greatly,which can reduce the retrieval accuracy while the matched image feature is searched in the enormous image feature database. Aiming at the local region of the users′ re-gion of interest,the concept of visual keyword is put forward,with which an image is replaced by several visual keywords to re-duce the characteristic quantity greatly. The visual keyword is regarded as the image region interested by users to make the re-trieval more targeted. The experimental results show that the retrieval accuracy is improved significantly.关键词
图像检索/兴趣点/感兴趣区域/视觉关键词Key words
image retrieval/points of interest/region of interest/visual keyword分类
信息技术与安全科学引用本文复制引用
陈晓宁,赵健,杨润丰..基于兴趣点检测的视觉关键词提取新方法研究[J].现代电子技术,2017,40(21):62-65,4.基金项目
国家自然科学基金资助项目(61379010) （61379010）
陕西省自然科学基础研究项目(2015JM6293) （2015JM6293）
东莞市社会科技发展项目(2016108101044) （2016108101044）
东莞职业技术学院科研项目(2015c16) （2015c16）
