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海量图像的安全检索研究综述

发表时间:2016-11-30  浏览量:2160  下载量:720
全部作者: 卓力,成博,张菁,朱子琦
作者单位: 北京工业大学信号与信息处理研究室
摘 要: 随着互联网的迅猛发展以及图像数字化摄取设备的全球普及,数字图像资源呈现爆炸式增长。海量图像安全检索技术在维持检索性能的同时,又保证了图像信息的安全性,已成为近年来图像处理领域的研究热点。为此,本文对近年来海量图像安全检索技术的相关研究进展进行综述,给出海量图像安全检索关键技术的基本概念;总结海量图像安全检索的研究现状,包括基于内容的图像检索采用的主流特征提取技术以及局部特征聚类、安全检索相关的隐私保护技术等;列举海量图像安全检索的相关实际应用;指出海量图像安全检索的研究方向。
关 键 词: 计算机图像处理;图像检索;综述;海量图像;聚类分析;安全性分析
Title: A review of research on large-scale image security retrieval
Author: ZHUO Li, CHENG Bo, ZHANG Jing, ZHU Ziqi
Organization: Signal and Information Processing Lab, Beijing University of Technology
Abstract: With the rapid development of the Internet and the global popularity of digital image acquisition devices, digital image resources have emerged an explosive growth. While maintaining the performance of the image retrieval, large-scale image security retrieval ensures the security of imageinformation. In recent years, it has become a research hotspot in the field of image processing. Therefore,in this paper, we summarize the research progress of large-scale image security retrieval for the past few years. Firstly, the basic concepts of key technology of large-scale image security retrieval are given. And then the related works of large-scale image security retrieval are surveyed, including the popular feature extraction methods and local feature clustering in content-based image retrieval, the privacy preservation technology related with image security retrieval, etc. Secondly, some practical applications of large-scale image security retrieval are listed in this paper. Finally, the future research trends of large-scale image security retrieval are pointed out.
Key words: computer image processing; image retrieval; review; large-scale image; cluster analysis; security analysis
发表期数: 2016年11月第22期
引用格式: 卓力,成博,张菁,等. 海量图像的安全检索研究综述[J]. 中国科技论文在线精品论文,2016,9(22):2273-2282.
 
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