基于大数据挖掘的图像检索方法研究  

Research of Images Retrieval Method Based on Big Data Mining

作　　者：赵婕[1] 姚峰林[2] 

机构地区：[1]太原学院计算机工程系,太原030032 [2]太原科技大学机械工程学院,太原030024

出　　处：《电脑开发与应用》2015年第3期7-9,12,共4页Computer Development & Applications

基　　金：太原科技大学博士启动基金资助项目(20132026);太原科技大学青年基金资助项目(20103003)

摘　　要：针对传统的图像检索方法对大规模图像数据进行检索时,耗费时间巨大以致无法满足用户需求的问题,采用大数据挖掘技术将大规模图像数据进行分布式存储和并行处理,缩减了图像数量对检索耗时的影响,并且快速挖掘出图像中与语义概念有较强关联的视觉模式,提高了检索效率。The traditional image retrieval method spends the huge amounts of time to search a large number of images,and the users’requirements cannot be satisfied. In order to solve the problems,distributed storage and parallel processing based on big data technology were used for a large number of images. The number of images has less the influence to retrieval time. Simultaneously,the visual patterns related to semantic concepts were mined in the images to improve the retrieval speed.

关 键 词：排课系统 JAVA EE 数据库技术 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]