High dimensional model representation (HDMR) with clustering for image retrieval

Ayşegül Karclll; Burcu Tunga

doi:10.1063/1.4972664

High dimensional model representation (HDMR) with clustering for image retrieval

Ayşegül Karclll, Burcu Tunga

Department of Mathematics Engineering

Istanbul Technical University

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

3 Citations (Scopus)

Abstract

Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.

Original language	English
Title of host publication	ICNPAA 2016 World Congress
Subtitle of host publication	11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences
Editors	Seenith Sivasundaram
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735414648
DOIs	https://doi.org/10.1063/1.4972664
Publication status	Published - 27 Jan 2017
Event	11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016 - La Rochelle, France Duration: 4 Jul 2016 → 8 Jul 2016

Publication series

Name	AIP Conference Proceedings
Volume	1798
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016
Country/Territory	France
City	La Rochelle
Period	4/07/16 → 8/07/16

Bibliographical note

Publisher Copyright:
© 2017 Author(s).

Keywords

Clustering
HDMR
Image decomposition
Image retrieval

Access to Document

10.1063/1.4972664

Cite this

Karclll, A., & Tunga, B. (2017). High dimensional model representation (HDMR) with clustering for image retrieval. In S. Sivasundaram (Ed.), ICNPAA 2016 World Congress: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences Article 020072 (AIP Conference Proceedings; Vol. 1798). American Institute of Physics Inc.. https://doi.org/10.1063/1.4972664

@inproceedings{584f06877dd1477a8914adb25c761e0f,

title = "High dimensional model representation (HDMR) with clustering for image retrieval",

abstract = "Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.",

keywords = "Clustering, HDMR, Image decomposition, Image retrieval",

author = "Ay{\c s}eg{\"u}l Karclll and Burcu Tunga",

note = "Publisher Copyright: {\textcopyright} 2017 Author(s).; 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016 ; Conference date: 04-07-2016 Through 08-07-2016",

year = "2017",

month = jan,

day = "27",

doi = "10.1063/1.4972664",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Seenith Sivasundaram",

booktitle = "ICNPAA 2016 World Congress",

}

Karclll, A & Tunga, B 2017, High dimensional model representation (HDMR) with clustering for image retrieval. in S Sivasundaram (ed.), ICNPAA 2016 World Congress: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences., 020072, AIP Conference Proceedings, vol. 1798, American Institute of Physics Inc., 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016, La Rochelle, France, 4/07/16. https://doi.org/10.1063/1.4972664

High dimensional model representation (HDMR) with clustering for image retrieval. / Karclll, Ayşegül; Tunga, Burcu.
ICNPAA 2016 World Congress: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. ed. / Seenith Sivasundaram. American Institute of Physics Inc., 2017. 020072 (AIP Conference Proceedings; Vol. 1798).

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

TY - GEN

T1 - High dimensional model representation (HDMR) with clustering for image retrieval

AU - Karclll, Ayşegül

AU - Tunga, Burcu

PY - 2017/1/27

Y1 - 2017/1/27

N2 - Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.

AB - Image retrieval continues to hold an important place in today's extremely fast growing technology. In this field, the accurate image retrieval with high speed is critical. In this study, to achieve this important issue we developed a novel method with the help of High Dimensional Model Representation (HDMR) philosophy. HDMR is a decomposition method used to solve different scientific problems. To test the performance of the new method we used Columbia Object Image Library (COIL100) and obtained the encouraging results. These results are given in the findings section.

KW - Clustering

KW - HDMR

KW - Image decomposition

KW - Image retrieval

UR - http://www.scopus.com/inward/record.url?scp=85013670266&partnerID=8YFLogxK

U2 - 10.1063/1.4972664

DO - 10.1063/1.4972664

M3 - Conference contribution

AN - SCOPUS:85013670266

T3 - AIP Conference Proceedings

BT - ICNPAA 2016 World Congress

A2 - Sivasundaram, Seenith

PB - American Institute of Physics Inc.

T2 - 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016

Y2 - 4 July 2016 through 8 July 2016

ER -

High dimensional model representation (HDMR) with clustering for image retrieval

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this