Adaptive texture image retrieval in transform domain

Bin Zhang; Catalin I. Tomai; Aidong Zhang

doi:10.1109/ICME.2002.1035622

Adaptive texture image retrieval in transform domain

Bin Zhang
, Catalin I. Tomai
, Aidong Zhang

Department of Computer Science and Engineering

SUNY Buffalo

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

Abstract

A large number of algorithms have been proposed to retrieve and analyze texture images. While much effort has been made to find algorithms applicable to all textures for superior retrieval performance, less work has been done to adaptively integrate various texture retrieval and analysis algorithms. As no individual texture retrieval algorithm is suited for every texture category, a hybrid scheme would outperform any individual method. In this paper, an adaptive retrieval scheme (ARS) for texture image indexing is proposed to dynamically adapt different transforms to different texture patterns for better retrieval performance. The experiments on the Brodatz texture database show that ARS significantly outperforms any individual transform.

Original language	English
Title of host publication	Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	401-404
Number of pages	4
ISBN (Electronic)	0780373049
DOIs	https://doi.org/10.1109/ICME.2002.1035622
State	Published - 2002
Event	2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland Duration: Aug 26 2002 → Aug 29 2002

Publication series

Name	Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Volume	2

Conference

Conference	2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Country/Territory	Switzerland
City	Lausanne
Period	08/26/02 → 08/29/02

Access to Document

10.1109/ICME.2002.1035622

Cite this

Zhang, B., Tomai, C. I., & Zhang, A. (2002). Adaptive texture image retrieval in transform domain. In Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002 (pp. 401-404). Article 1035622 (Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICME.2002.1035622

@inproceedings{476c122ac16a472f82d3bad93232ec65,

title = "Adaptive texture image retrieval in transform domain",

abstract = "A large number of algorithms have been proposed to retrieve and analyze texture images. While much effort has been made to find algorithms applicable to all textures for superior retrieval performance, less work has been done to adaptively integrate various texture retrieval and analysis algorithms. As no individual texture retrieval algorithm is suited for every texture category, a hybrid scheme would outperform any individual method. In this paper, an adaptive retrieval scheme (ARS) for texture image indexing is proposed to dynamically adapt different transforms to different texture patterns for better retrieval performance. The experiments on the Brodatz texture database show that ARS significantly outperforms any individual transform.",

author = "Bin Zhang and Tomai, \{Catalin I.\} and Aidong Zhang",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 2002 IEEE International Conference on Multimedia and Expo, ICME 2002 ; Conference date: 26-08-2002 Through 29-08-2002",

year = "2002",

doi = "10.1109/ICME.2002.1035622",

language = "English",

series = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "401--404",

booktitle = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",

address = "United States",

}

Zhang, B, Tomai, CI & Zhang, A 2002, Adaptive texture image retrieval in transform domain. in Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002., 1035622, Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 401-404, 2002 IEEE International Conference on Multimedia and Expo, ICME 2002, Lausanne, Switzerland, 08/26/02. https://doi.org/10.1109/ICME.2002.1035622

Adaptive texture image retrieval in transform domain. / Zhang, Bin; Tomai, Catalin I.; Zhang, Aidong.
Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 401-404 1035622 (Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002; Vol. 2).

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

TY - GEN

T1 - Adaptive texture image retrieval in transform domain

AU - Zhang, Bin

AU - Tomai, Catalin I.

AU - Zhang, Aidong

PY - 2002

Y1 - 2002

N2 - A large number of algorithms have been proposed to retrieve and analyze texture images. While much effort has been made to find algorithms applicable to all textures for superior retrieval performance, less work has been done to adaptively integrate various texture retrieval and analysis algorithms. As no individual texture retrieval algorithm is suited for every texture category, a hybrid scheme would outperform any individual method. In this paper, an adaptive retrieval scheme (ARS) for texture image indexing is proposed to dynamically adapt different transforms to different texture patterns for better retrieval performance. The experiments on the Brodatz texture database show that ARS significantly outperforms any individual transform.

AB - A large number of algorithms have been proposed to retrieve and analyze texture images. While much effort has been made to find algorithms applicable to all textures for superior retrieval performance, less work has been done to adaptively integrate various texture retrieval and analysis algorithms. As no individual texture retrieval algorithm is suited for every texture category, a hybrid scheme would outperform any individual method. In this paper, an adaptive retrieval scheme (ARS) for texture image indexing is proposed to dynamically adapt different transforms to different texture patterns for better retrieval performance. The experiments on the Brodatz texture database show that ARS significantly outperforms any individual transform.

UR - https://www.scopus.com/pages/publications/84908202593

U2 - 10.1109/ICME.2002.1035622

DO - 10.1109/ICME.2002.1035622

M3 - Conference contribution

AN - SCOPUS:84908202593

T3 - Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002

SP - 401

EP - 404

BT - Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002

Y2 - 26 August 2002 through 29 August 2002

ER -

Adaptive texture image retrieval in transform domain

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