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个人信息Personal Information
教授 博士生导师
性别：女
毕业院校：玛丽女王与韦斯特菲尔德大学
学历：博士研究生毕业
学位：工学博士学位
在职信息：减离人员
所在单位：计算机科学与工程学院（网络空间安全学院）
学科：计算机科学与技术
曾获荣誉：第十届ACM国际物联网与云计算学术研讨会议最佳报告奖;
EXCELLENT ACM CHINA LECTURER;
ACM 2017 OUTSTANDING CONTRIBUTION AWARD;
四川省科技进步二等奖一项;
Compact Feature Based Clustering for Large-scale Image Retrieval
点击次数：
关键字：similarity distance regularization, Large-scale image retrieval, image representation
摘要：This paper addresses the problem of fast similar image retrieval, especially for large-scale datasets with millions of images. We present a new framework which consists of two dependent algorithms. First, a new feature is proposed to represent images, which is dubbed compact feature based clustering (CFC). For each image, we first extract cluster centers of local features, and then calculate distribution histograms of local features and statistics of spatial information in each cluster to form compact features based clustering, replacing thousands of local features.
全部作者：Z. Xu, N. Lv, S. Xie, L. Dong,Y. Liang
第一作者：Y. Liang
论文类型：应用研究
通讯作者：董乐
学科门类：工学
一级学科：计算机科学与技术
ISSN号：1945-7871
是否译文：否