Using 3D spatial relationships for image retrieval by XML annotation

Soo Cheol Lee, Een Jun Hwang, Yang Kyoo Lee

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

1 Citation (Scopus)


Retrieval of images from image databases using spatial relationship can be effectively performed through visual interface systems. In these systems, the representation of images with 2D strings, which is derived from symbolic projections, provides an efficient and natural way to construct image index and is also an ideal representation for the visual query. With this approach, retrieval issue is reduced to matching two symbolic strings. However, 2D-string representations might not specify spatial relationships between the objects in an image. Ambiguities arise for the retrieval of images of 3D scenes. In order to remove ambiguity in the description of objects' spatial relationships, in this paper, images are referred by considering spatial relationships using the spatial location algebra for the 3D image scene.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2004 - International Conference, Proceedings
PublisherSpringer Verlag
Number of pages11
EditionPART 4
ISBN (Print)3540220607, 9783540220602
Publication statusPublished - 2004
Externally publishedYes
EventInternational Conference on Computational Science and Its Applications, ICCSA 2004 - Assisi, Italy
Duration: 2004 May 142004 May 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume3046 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Computational Science and Its Applications, ICCSA 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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