%0 Journal Article
%T A New Approach for Automatic Image Annotation Based on Semantic Clustering and Graph Algorithm<br>一种新的基于语义聚类和图算法的自动图像标注方法
%A RUI Xiao-guang
%A YUAN Ping-bo
%A HE Fang
%A YU Neng-hai
%A <br>芮晓光
%A 袁平波
%A 何芳
%A 俞能海
%J 中国图象图形学报
%D 2007
%I 
%X A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.Our approach first performs segmentation of images into regions,followed by the clustering of regions to blobs using a semi-supervised image clustering algorithm with soft constraints which utilizing the visual and semantic information of images.And a graph-based algorithm is used to compute the probabilistic relation between concepts and region blobs which can be used to annotate new images.Experiments conducted on standard dataset demonstrate the effectiveness and efficiency of the proposed approach for image annotation.
%K semi-supervised clustering
%K soft constraints
%K image annotation
%K Manifold ranking<br>半监督聚类
%K 软约束
%K 图像标注
%K Manifold排序学习算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=320903AC06F5E8DA&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=0B39A22176CE99FB&sid=1DF3F9D75A12D97B&eid=5B5B75F4854B8331&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=13