Multiple regions and their spatial relationship-based image retrieval

Byoungchul Ko, Hyeran Byun

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

6 Citations (Scopus)

Abstract

In this paper, we present a new multiple regions and their spatial relationship-based image retrieval method. In this method, a semantic object is integrated as a set of related regions based on their spatial relationships and visual features. In contrast to other ROI (Regionof- Interest) or multiple region-based algorithms, we use the Hausdorff Distance (HD) to estimate spatial relationships between regions. By our proposed HD, we can simplify matching process between complex spatial relationships and admit spatial variations of regions, such as translation, rotation, insertion, and deletion. Furthermore, to solve the weight adjust problem automatically and to reflect user’s perceptual subjectivity to the system, we incorporate relevance feedback mechanism into our similarity measure process.

Original languageEnglish
Title of host publicationImage and Video Retrieval - International Conference, CIVR 2002, Proceedings
EditorsMichael S. Lew, Nicu Sebe, John P. Eakins
PublisherSpringer Verlag
Pages81-90
Number of pages10
ISBN (Electronic)9783540438991
DOIs
Publication statusPublished - 2002
EventInternational Conference on Image and Video Retrieval, CIVR 2002 - London, United Kingdom
Duration: 2002 Jul 182002 Jul 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2383
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Image and Video Retrieval, CIVR 2002
CountryUnited Kingdom
CityLondon
Period02/7/1802/7/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Ko, B., & Byun, H. (2002). Multiple regions and their spatial relationship-based image retrieval. In M. S. Lew, N. Sebe, & J. P. Eakins (Eds.), Image and Video Retrieval - International Conference, CIVR 2002, Proceedings (pp. 81-90). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2383). Springer Verlag. https://doi.org/10.1007/3-540-45479-9_9