文章基本信息

标题：Image Retrieval Algorithm Based on Minimal Loss Hashing
本地全文：下载
作者：Biao Wang ; Ying Qian
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：173
DOI：10.1051/matecconf/201817303010
语种：English
出版社：EDP Sciences
摘要：In order to solve the inefficiency and time-consuming of traditional image retrieval algorithms, an image retrieval algorithm based on minimal loss hashing is proposed. Firstly, the original high dimensional data is reduced by principal component analysis and Laplacian Eigenmaps. Secondly, minimize dimensionality reduction and quantization coding loss function, then we could obtain the hash function by iterative optimization parameters. Finally, the original data matrix is converted into a hash coding matrix, and the sample similarity is obtained by calculating the Hamming distance between samples. The experimental results on four public datasets show that the proposed method improves the retrieval performance.