Multiple regions and their spatial relationship-based image retrieval

Byoungchul Ko; Hyeran Byun

doi:10.1007/3-540-45479-9_9

Multiple regions and their spatial relationship-based image retrieval

Byoungchul Ko, Hyeran Byun

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Image and Video Retrieval - International Conference, CIVR 2002, Proceedings
Editors	Michael S. Lew, Nicu Sebe, John P. Eakins
Publisher	Springer Verlag
Pages	81-90
Number of pages	10
ISBN (Electronic)	9783540438991
DOIs	https://doi.org/10.1007/3-540-45479-9_9
Publication status	Published - 2002
Event	International Conference on Image and Video Retrieval, CIVR 2002 - London, United Kingdom Duration: 2002 Jul 18 → 2002 Jul 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2383
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Conference on Image and Video Retrieval, CIVR 2002
Country/Territory	United Kingdom
City	London
Period	02/7/18 → 02/7/19

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45479-9_9

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

Ko, Byoungchul ; Byun, Hyeran. / Multiple regions and their spatial relationship-based image retrieval. Image and Video Retrieval - International Conference, CIVR 2002, Proceedings. editor / Michael S. Lew ; Nicu Sebe ; John P. Eakins. Springer Verlag, 2002. pp. 81-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{08634653ee7a47c499ad67a509943883,

title = "Multiple regions and their spatial relationship-based image retrieval",

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{\textquoteright}s perceptual subjectivity to the system, we incorporate relevance feedback mechanism into our similarity measure process.",

author = "Byoungchul Ko and Hyeran Byun",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; International Conference on Image and Video Retrieval, CIVR 2002 ; Conference date: 18-07-2002 Through 19-07-2002",

year = "2002",

doi = "10.1007/3-540-45479-9_9",

language = "English",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "81--90",

editor = "Lew, {Michael S.} and Nicu Sebe and Eakins, {John P.}",

booktitle = "Image and Video Retrieval - International Conference, CIVR 2002, Proceedings",

address = "Germany",

}

Ko, B & Byun, H 2002, Multiple regions and their spatial relationship-based image retrieval. in MS Lew, N Sebe & JP Eakins (eds), Image and Video Retrieval - International Conference, CIVR 2002, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2383, Springer Verlag, pp. 81-90, International Conference on Image and Video Retrieval, CIVR 2002, London, United Kingdom, 02/7/18. https://doi.org/10.1007/3-540-45479-9_9

Multiple regions and their spatial relationship-based image retrieval. / Ko, Byoungchul; Byun, Hyeran.

Image and Video Retrieval - International Conference, CIVR 2002, Proceedings. ed. / Michael S. Lew; Nicu Sebe; John P. Eakins. Springer Verlag, 2002. p. 81-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2383).

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

TY - GEN

T1 - Multiple regions and their spatial relationship-based image retrieval

AU - Ko, Byoungchul

AU - Byun, Hyeran

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2002.

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77954468441&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954468441&partnerID=8YFLogxK

U2 - 10.1007/3-540-45479-9_9

DO - 10.1007/3-540-45479-9_9

M3 - Conference contribution

AN - SCOPUS:77954468441

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 81

EP - 90

BT - Image and Video Retrieval - International Conference, CIVR 2002, Proceedings

A2 - Lew, Michael S.

A2 - Sebe, Nicu

A2 - Eakins, John P.

PB - Springer Verlag

T2 - International Conference on Image and Video Retrieval, CIVR 2002

Y2 - 18 July 2002 through 19 July 2002

ER -

Ko B, Byun H. Multiple regions and their spatial relationship-based image retrieval. In Lew MS, Sebe N, Eakins JP, editors, Image and Video Retrieval - International Conference, CIVR 2002, Proceedings. Springer Verlag. 2002. p. 81-90. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45479-9_9

Multiple regions and their spatial relationship-based image retrieval

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this