浅析大数据搜索引擎之图片搜索技术  

Analysis of Picture Search Technology of Big Data Search Engine

作　　者：孟庆芳 MENG Qing-fang(Nanjing Transportation Science and Technology School,Nanjing 210000,China)

机构地区：[1]南京交通科技学校

出　　处：《电脑知识与技术》2019年第12期181-182,184,共3页Computer Knowledge and Technology

摘　　要：随着大数据技术的发展,搜索引擎的关注度越来越高,搜索引擎技术也逐渐发展成为大数据应用最前线的领域,也是最容易产生价值的大数据应用。图片搜索是目前搜索引擎中搜索流量仅次于网页搜索的多媒体搜索项目,为了快速精准的实现图片搜索功能,论文从基于内容的图片搜索及基于文本的图片搜索两个方面进行分析、研究,解决了较高效精准地以图搜图的图片搜索问题。With the development of big data technology,search engine has become more and more concerned.Search engine technology has gradually developed into the frontier area of big data application,and is also the most valuable big data application.Picture search is a multimedia search project in search engine,whose search traffic is second only to web search.In order to realize the function of image search quickly and accurately,this paper analyses and studies two aspects of content-based image search and text-based image search,and solves the problem of image search with high efficiency and precision.Claim problem.

关 键 词：大数据 搜索引擎 图片搜索 算法 相似度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]