Using 3D spatial relationships for image retrieval by XML annotation

SooCheol Lee, Een Jun Hwang, YangKyoo Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages838-848
Number of pages11
Volume3046 LNCS
EditionPART 4
Publication statusPublished - 2004 Dec 1
Externally publishedYes

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)03029743
ISSN (Electronic)16113349

Fingerprint

Image retrieval
Image Retrieval
XML
Algebra
Annotation
Retrieval
Strings
Image Database
3D Image
Relationships
Projection
Query

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Lee, S., Hwang, E. J., & Lee, Y. (2004). Using 3D spatial relationships for image retrieval by XML annotation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 4 ed., Vol. 3046 LNCS, pp. 838-848). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3046 LNCS, No. PART 4).

Using 3D spatial relationships for image retrieval by XML annotation. / Lee, SooCheol; Hwang, Een Jun; Lee, YangKyoo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3046 LNCS PART 4. ed. 2004. p. 838-848 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3046 LNCS, No. PART 4).

Research output: Chapter in Book/Report/Conference proceedingChapter

Lee, S, Hwang, EJ & Lee, Y 2004, Using 3D spatial relationships for image retrieval by XML annotation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 edn, vol. 3046 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 3046 LNCS, pp. 838-848.
Lee S, Hwang EJ, Lee Y. Using 3D spatial relationships for image retrieval by XML annotation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 ed. Vol. 3046 LNCS. 2004. p. 838-848. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
Lee, SooCheol ; Hwang, Een Jun ; Lee, YangKyoo. / Using 3D spatial relationships for image retrieval by XML annotation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3046 LNCS PART 4. ed. 2004. pp. 838-848 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
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