Research on Content-Based Image Retrieval Techniques

HUANG Xiang-lin; SHEN Lan-sun

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Research on Content-Based Image Retrieval Techniques

更新时间：2025-07-16

- Research on Content-Based Image Retrieval Techniques
- Acta Electronica Sinica Vol. 30, Issue 7, Pages: 1065-1071(2002)
- 作者机构：
  
  北京工业大学信号与信息处理研究室,北京,100022
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919
- Published Online：25 July 2002，
  
  Published：2002
- 稿件说明：
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HUANG Xiang-lin, SHEN Lan-sun. Research on Content-Based Image Retrieval Techniques[J]. Acta Electronica Sinica, 2002, 30(7): 1065-1071.
DOI：

HUANG Xiang-lin, SHEN Lan-sun. Research on Content-Based Image Retrieval Techniques[J]. Acta Electronica Sinica, 2002, 30(7): 1065-1071. DOI：

摘要

在对海量的图像数据进行检索时

传统的基于数值/字符的信息检索技术并不能满足要求.因此

基于内容的图像检索技术(CBIR:Content-Based Image Retrieval)的研究应运而生

并引起了广泛关注.本文主要讨论CBIR研究中的一些关键问题:图像的内容特征及其提取、特征之间的相似度计算、查询条件的表达、检索性能的评价、压缩域的图像检索技术等等

并指出了一些可值得深入研究的方向.

Abstract

With the rapid increasing of image data

an effective and efficient image retrieval system is needed for finding useful images in large databases or on Internet.Because of the complexity of images

the traditional information retrieval techniques

which are based on value and/or text comparison

are not sufficient.Then the research is shifted to the techniques of content-based image retrieval (CBIR).In this paper

some key issues on CBIR are discussed:image features extraction

similarity measures

the expression of query conditions

retrieval techniques in compressed-domain

the performance evaluation

and so on.Some future research directions are also given in the conclusion.

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Related Institution

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