摘要
农业企业电子商务平台的蓬勃发展离不开大数据技术的强力支持,设计一套基于大数据背景下的农业企业电子商务商品图像特征提取检索系统对用户和农业企业而言意义重大。系统设计应满足海量商品存储需求、用户快速在线检索需求、快速响应及处理需求,系统应以Hadoop作为框架进行系统架构,设计满足用户输入查询和提供显示结果的接口模块、输入图像和库中图像的特征提取模块、输入图像和库中图像特征匹配模块。同时,系统应采用先进的图像特征提取检索算法,以提高图像检索的准确率和效率,为用户提供更佳的体验。
The vigorous development of e-commerce platform for agribusiness is inseparable from the strong support of big data Technology.Designing a set of e-commerce commodity image feature retrieval system based on big data background is of great significance to users and agricultural enterprises.The system design should meet the needs of mass commodity storage,fast online retrieval of users,rapid response and processing requirements.The system should use Hadoop as the framework for system architecture,design interface modules that meet user input query and provide display results,input images and images in the library.The feature extraction module,the input image,and the image feature matching module in the library.At the same time,the system should adopt advanced image feature extraction retrieval algorithm to improve the accuracy and efficiency of image retrieval and provide users with a better experience.
作者
杨露
YANG Lu(Guizhou University of Commerce,Guiyang 550014,China)
出处
《电视技术》
2018年第11期82-86,共5页
Video Engineering
基金
贵州省教育厅青年科技人才成长项目"大数据背景下农业企业电子商务模式研究"(黔教合KY字[2017]232)
