摘要
当今的数字时代,数据的增长速度不断加快,人们面临着需要高效快速处理大量数据的问题,由此诞生分布式计算机系统框架Hadoop。图像搜索方面,在海量图像数据的环境下,基于内容的图像检索(CBIR)相比传统基于文本的图像检索更具优越性。Hadoop适用于图像文件数无限大的情况,因此本文在简单介绍Hadoop之后,详细的描述了基于Hdoop的CBIR系统的设计与实现,并给出了系统性能的测试结果。
Data of growth is accelerating on today's digital era, people facing the problem that fast and efficient processing of large amounts of data. Therefore the distributed computer system framework, Hadoop was born. Under the massive image data environment, content based image retrieval(CBIR) has more advantages than traditional text based image retrieval, Hadoop is applicable to the image file number infinite case. This article introduces Hadoop, then described the implementation of a content based image retrieval system in detail, and gived out the performance test results.
出处
《电脑知识与技术》
2014年第9X期6318-6320,共3页
Computer Knowledge and Technology
基金
国家级大学生创新项目(No.201310577014)
广东省大学生创新项目(No.1057713011)
惠州市科技计划项目(No.2012-7)
