Fuzzy content-based retrieval in image databases

Ibrahim Gokcen, Adnan Yazici, Bill P. Buckles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Image data is a very commonly used multimedia data type and usually have visual characteristics that have imprecise descriptions. Fuzzy retrieval of images that are stored in an image database is a natural and effective way to access image data. Recently, some work has been done on fuzzy content-based retrieval systems but to the authors knowledge none of them rely on a defined model for fuzzy query processing part. In this paper, an approach for fuzzy content-based retrieval using the Fuzzy Object-Oriented Data (FOOD) model will be described. A novel way of determining the fuzzy values from extracted color features will also be presented.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsTatyana Yakhno
PublisherSpringer Verlag
Pages226-237
Number of pages12
ISBN (Print)3540411844, 9783540411840
DOIs
Publication statusPublished - Jan 1 2000
Externally publishedYes
Event1st International Conference on Advances in Information Systems, ADVIS 2000 - Izmir, Turkey
Duration: Oct 25 2000Oct 27 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1909
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Advances in Information Systems, ADVIS 2000
CountryTurkey
CityIzmir
Period10/25/0010/27/00

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Gokcen, I., Yazici, A., & Buckles, B. P. (2000). Fuzzy content-based retrieval in image databases. In T. Yakhno (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 226-237). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1909). Springer Verlag. https://doi.org/10.1007/3-540-40888-6_21