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An efficient image retrieval system using ordered weighted aggregation

  • Middle East Technical University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In this study, an XML based content-based image retrieval system that combines three visual descriptors of MPEG-7 (Dominant Color (DC), Color Layout (CL) and Edge Histogram (EH)) is introduced. The system is extended to support high dimensional indexing for efficient search and retrieval from a native XML-based DBMS. To do this, an index structure, called M-Tree, which uses Euclidean distance function for each feature, is used. In addition the Ordered Weighted Aggregation (OWA) operators are adapted for aggregating the distance functions of these features. The system supports nearest neighbor queries and various types of fuzzy queries; feature-based, image-based and color-based queries. The experimental results show that our system is effective in terms of retrieval efficiency.

Original languageEnglish
Title of host publicationGranular Computing
Subtitle of host publicationAt the Junction of Rough Sets and Fuzzy Sets
EditorsRafael Bello, Rafael Falcon, Witold Pedrycz, Janusz Kacprzyk
Pages43-54
Number of pages12
DOIs
Publication statusPublished - 2008

Publication series

NameStudies in Fuzziness and Soft Computing
Volume224
ISSN (Print)1434-9922

Keywords

  • Content-based images retrieval
  • Fuzzy query
  • M-tree
  • Mpeg-7
  • Owa
  • Xml database

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

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