计算机工程与应用2018，Vol.54Issue(3)：192-199,8.DOI:10.3778/j.issn.1002-8331.1609-0042
一种基于主成分的多表图像哈希检索方法
Multi table image hash retrieval method based on principal compo- nent
摘要
Abstract
In the era of big data, fast and accurate indexing algorithm is crucial for the information retrieval. As the search performance of Single Table Hash Retrieval(STHR)method utilizing random projection is too low, a novel multi table image hash retrieval method based on principal component is proposed. In order to get efficient hash encoding to distin-guish the feature of different semantic samples, discriminative image features are holden by the principal component analysis method. Furthermore, hash index tables are established by using Feature Clustering as a guide for learning hash projection. Meaning while, the orthogonal rotation matrix is employed to optimize the hash projection, which ensures that the samples with the same semantics have similar hash codes. Finally, a series of experiments are conducted on CIFAR-10 and Caltech-256 data sets comparing with the related methods. The results show that the proposed method gains a great improvement in terms of retrieval performance.关键词
区分性图像特征/主元分析/特征聚类/正交旋转矩阵/哈希函数/多表索引Key words
distinguishing feature of image/Principal Component Analysis(PCA)/feature clustering/orthogonal rotation matrix/hash function/multi table index分类
信息技术与安全科学引用本文复制引用
邓清文,林志贤,郭太良..一种基于主成分的多表图像哈希检索方法[J].计算机工程与应用,2018,54(3):192-199,8.基金项目
国家重点研发计划课题(No.2016YFB0401503) （No.2016YFB0401503）
福建省科技重大专项(No.2014HZ0003-1) （No.2014HZ0003-1）
福建省资助省属高校专项课题(No.JK2014002) （No.JK2014002）
广东省科技重大专项(No.2016B090906001). （No.2016B090906001）
