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METHOD AND SYSTEM FOR EXTRACTING IMAGE FEATURE BASED ON MAP-REDUCE FOR SEARCHING IMAGE

机译:基于map-reduce的图像特征提取方法及系统

摘要

A method and system for image feature extraction based on MapReduce for image-based searching are provided. A distribution system for extracting image vectors representing characteristics of an image in an image includes a master node for extracting a feature vector from at least one slave node and an image and distributing the extracted feature vector to the slave node, Each determining a visual word to which each feature vector is to be assigned based on a visual word generated by clustering feature points stored in an image database and a distance between the feature vectors, and based on the identifier of the image, A residual vector which is a difference between the feature vector assigned to the word and the determined visual word is calculated and an image vector representing the feature of the image can be constructed using the residual vector.
机译:提供了一种基于MapReduce的图像特征提取方法和系统,用于基于图像的搜索。一种用于提取表示图像中的图像的特征的图像矢量的分配系统,包括主节点,该主节点用于从至少一个从节点和图像中提取特征矢量,并将提取的特征矢量分配给从节点,每个主节点确定视觉词以基于对图像数据库中存储的特征点进行聚类生成的视觉词和特征向量之间的距离,并基于图像的标识符,分配每个特征向量,残差向量是特征之间的差计算分配给单词和确定的视觉单词的向量,并且可以使用残差向量构建表示图像特征的图像向量。

著录项

  • 公开/公告号KR101780534B1

    专利类型

  • 公开/公告日2017-09-20

    原文格式PDF

  • 申请/专利权人 경희대학교 산학협력단;

    申请/专利号KR20140194730

  • 发明设计人 이영구;김태연;박기성;

    申请日2014-12-31

  • 分类号G06K9/46;G06F17/30;

  • 国家 KR

  • 入库时间 2022-08-21 13:24:46

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