Pattern retrieval in image databases based on adaptive signal decomposition

W. Y. Ma; B. S. Manjunath

doi:10.1109/ACSSC.1994.471678

Pattern retrieval in image databases based on adaptive signal decomposition

W. Y. Ma, B. S. Manjunath

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Efficient retrieval of information from image and other multimedia databases is an important and challenging problem. Among techniques developed for this purpose, query by example is the most effective way for searching large collections of images. In this paper we propose a new approach to extracting image features based on the local intensity pattern. The user can select any region of interest within an image and request that the system retrieve all similar looking patterns. No domain specific or context information is used in analysis, and the feature representation has desirable properties such as reduced dimensionality, preserving perceptual similarity, and offering a natural hierarchical indexing structure. Experimental results are presented. © 1995 IEEE.

Original language	English
Title of host publication	Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Publisher	IEEE Computer Society
Pages	1351-1355
Volume	2
ISBN (Print)	0818664053
DOIs	https://doi.org/10.1109/ACSSC.1994.471678
Publication status	Published - 1994
Externally published	Yes
Event	28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States Duration: 31 Oct 1994 → 2 Nov 1994

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2
ISSN (Print)	1058-6393

Conference

Conference	28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Place	United States
City	Pacific Grove
Period	31/10/94 → 2/11/94

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

Acknowledgments: This wok was partially supported by grants from NASA and NSF/UCSB Alexandria Project on Digital Libraries.

Access Output

10.1109/ACSSC.1994.471678

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Ma, W. Y., & Manjunath, B. S. (1994). Pattern retrieval in image databases based on adaptive signal decomposition. In Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 (Vol. 2, pp. 1351-1355). Article 471678 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ACSSC.1994.471678

@inproceedings{6a7feafcf9844bbeb0566091d31e065f,

title = "Pattern retrieval in image databases based on adaptive signal decomposition",

abstract = "Efficient retrieval of information from image and other multimedia databases is an important and challenging problem. Among techniques developed for this purpose, query by example is the most effective way for searching large collections of images. In this paper we propose a new approach to extracting image features based on the local intensity pattern. The user can select any region of interest within an image and request that the system retrieve all similar looking patterns. No domain specific or context information is used in analysis, and the feature representation has desirable properties such as reduced dimensionality, preserving perceptual similarity, and offering a natural hierarchical indexing structure. Experimental results are presented. {\textcopyright} 1995 IEEE.",

author = "Ma, {W. Y.} and Manjunath, {B. S.}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 ; Conference date: 31-10-1994 Through 02-11-1994",

year = "1994",

doi = "10.1109/ACSSC.1994.471678",

language = "English",

isbn = "0818664053",

volume = "2",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

pages = "1351--1355",

booktitle = "Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994",

address = "United States",

}

Ma, WY & Manjunath, BS 1994, Pattern retrieval in image databases based on adaptive signal decomposition. in Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994. vol. 2, 471678, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2, IEEE Computer Society, pp. 1351-1355, 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994, Pacific Grove, United States, 31/10/94. https://doi.org/10.1109/ACSSC.1994.471678

Pattern retrieval in image databases based on adaptive signal decomposition. / Ma, W. Y.; Manjunath, B. S.
Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994. Vol. 2 IEEE Computer Society, 1994. p. 1351-1355 471678 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Pattern retrieval in image databases based on adaptive signal decomposition

AU - Ma, W. Y.

AU - Manjunath, B. S.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1994

Y1 - 1994

N2 - Efficient retrieval of information from image and other multimedia databases is an important and challenging problem. Among techniques developed for this purpose, query by example is the most effective way for searching large collections of images. In this paper we propose a new approach to extracting image features based on the local intensity pattern. The user can select any region of interest within an image and request that the system retrieve all similar looking patterns. No domain specific or context information is used in analysis, and the feature representation has desirable properties such as reduced dimensionality, preserving perceptual similarity, and offering a natural hierarchical indexing structure. Experimental results are presented. © 1995 IEEE.

AB - Efficient retrieval of information from image and other multimedia databases is an important and challenging problem. Among techniques developed for this purpose, query by example is the most effective way for searching large collections of images. In this paper we propose a new approach to extracting image features based on the local intensity pattern. The user can select any region of interest within an image and request that the system retrieve all similar looking patterns. No domain specific or context information is used in analysis, and the feature representation has desirable properties such as reduced dimensionality, preserving perceptual similarity, and offering a natural hierarchical indexing structure. Experimental results are presented. © 1995 IEEE.

UR - http://www.scopus.com/inward/record.url?scp=85063460618&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85063460618&origin=recordpage

U2 - 10.1109/ACSSC.1994.471678

DO - 10.1109/ACSSC.1994.471678

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0818664053

VL - 2

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 1351

EP - 1355

BT - Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994

PB - IEEE Computer Society

T2 - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994

Y2 - 31 October 1994 through 2 November 1994

ER -

Pattern retrieval in image databases based on adaptive signal decomposition

Abstract

Publication series

Conference

Bibliographical note

Funding

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this