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Effective color image retrieval based on the Gaussian mixture model

  • University of Lodz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The main problem addressed in this paper is as follows: a system applying the proposed framework should retrieve all images whose color structure is similar to that of the given query image, independently on the applied lossy coding. We propose an approach based on the color histogram approximation using the Gaussian Mixture Model. The proposed method incorporates the information on the spatial distribution of the color image pixels utilizing the bilateral filtering scheme. The retrieval results were evaluated on large databases of natural color images and the usefulness of the proposed technique was compared with some commonly known retrieval methods operating on color histograms.

Original languageEnglish
Title of host publicationComputational Color Imaging - Third International Workshop, CCIW 2011, Proceedings
Pages199-213
Number of pages15
DOIs
Publication statusPublished - 2011
Event3rd International Workshop on Computational Color Imaging, CCIW 2011 - Milan, Italy
Duration: 20 Apr 201121 Apr 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6626 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Workshop on Computational Color Imaging, CCIW 2011
Country/TerritoryItaly
CityMilan
Period20/04/1121/04/11

Keywords

  • Gaussian mixture
  • color image retrieval
  • lossy compression

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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