计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 252-255.doi: 10.11896/j.issn.1002-137X.2016.11A.058
耿增民,商书元,邵新艳,周毅灵,马玲
GENG Zeng-min, SHANG Shu-yuan, SHAO Xin-yan, ZHOU Yi-ling and MA Lin
摘要： 以大规模智能采集互联网中的服装图像为目的,研究如何利用互联网上服装图像的伴随文本与服装图像概念之间的关联,实现自动采集各语义对应的服装图像。在HITS(Hyperlink-Induced Topic Search)算法的基础上提出一个基于层次语义的图像采集算法SICR(Semantic-based Image Collection Robot)。该算法在层次语义库的支持下,扩充根集与去除链接工厂页面同步进行。在爬取链接网页前,进行锚文字的相似度计算和页面内容的概念分析,舍弃不符合语义的页面,只下载满足语义的服装图像。算法克服了基于文本分析或链接分析的图像自动提取算法的不足,具有较高的准确率和召回率,实验结果证明了SICR算法的有效性。
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