Structured Huge Amounts of Information Retrieval Mining Technology and Visual Display of 3D Technology

SUN Zhong-de; JIANG Wei; LIU Qiao-gen; GU Cheng-hua

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Structured Huge Amounts of Information Retrieval Mining Technology and Visual Display of 3D Technology

更新时间：2026-09-04

- Structured Huge Amounts of Information Retrieval Mining Technology and Visual Display of 3D Technology
- Vol. 33, Issue 9, Pages: 137-140(2016)
- 作者机构：
  
  1. 扬州市气象局,江苏,扬州,225009
  2. 扬州大学机构工学院,江苏,扬州,225009
  3. 江苏省气象局,江苏,南京,210008
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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孙钟德, 蒋薇, 刘巧根, 顾承华. 海量信息检索挖掘及视觉三维展现方法仿真[J]. 微电子学与计算机, 2016, 33(9): 137-140, 145.

SUN Zhong-de, JIANG Wei, LIU Qiao-gen, et al. Structured Huge Amounts of Information Retrieval Mining Technology and Visual Display of 3D Technology[J]. 2016, 33(9): 137-140.
孙钟德, 蒋薇, 刘巧根, 顾承华. 海量信息检索挖掘及视觉三维展现方法仿真[J]. 微电子学与计算机, 2016, 33(9): 137-140, 145. DOI：

SUN Zhong-de, JIANG Wei, LIU Qiao-gen, et al. Structured Huge Amounts of Information Retrieval Mining Technology and Visual Display of 3D Technology[J]. 2016, 33(9): 137-140. DOI：

摘要

为了提高网络中海量信息检索挖掘的效率和准确率

提出一种基于分布式处理技术的结构化的海量信息检索挖掘及视觉三维展现方法.利用分布式检索系统的MapReduce引擎

能够实现海量图像信息相似性度量的检索挖掘; 利用MapReduce检索挖掘模型中的映射和约简操作过程

能够对图像相似性的度量进行运算

并对特征相识度相同的图像进行合并; 利用SIFT、HOG和颜色矩这3个特征参数构成的图像特征向量

构建与图像特征对应的视觉和语义词汇

实现检索结果的三维可视化展示.仿真结果证明

改进算法进行高海量信息检索挖掘耗时短、准确率高.

Abstract

In order to improve the efficiency and accuracy of massive information retrieval and mining in the network

a new method based on distributed processing technology is proposed. Using distributed retrieval system of MapReduce engine

to achieve mass image information measure of searching for similar; using the MapReduce retrieval by mining model mapping and reduction operation process

can the image similarity metric operations

and the feature met with image merging; using sift and hog and color moments of the three characteristic parameters of image feature vector construct 3D visualization and image features corresponding to visual and semantic vocabulary

achieve the retrieval result display. The simulation results show that the improved algorithm is time-consuming

high accuracy and high accuracy.

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Keywords

references

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