摘要
探讨语义网图像搜索的一般模型及其算法,提出色彩统计信息的图像语义网检索模型和检索算法,利用半监督学习方法来实现算法,并对算法进行分析.实验结果表明,在小样本情况下对色彩统计信息进行图像检索,提高了检索的查准查全率.
This article describes the Semantic Web image search of the general model and its algo- rithm, color images of the Semantic Web statistical information retrieval models and retrieval algorithms, using semi-supervised learning method to achieve the algorithm of which an analysis was made. The experi- mental results show that in small sample cases, the retrieved statistical information of color image improved the retrieval precision recall rate.
出处
《广西师范学院学报（自然科学版）》
2010年第1期53-57,共5页
Journal of Guangxi Teachers Education University(Natural Science Edition)
关键词
语义网
色彩统计
半监督学习
图像检索
Semantic Web
color Statistics
semi-supervised learning
image search
