Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images

Ziyou Xiong; Thomas S. Huang

Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images

Ziyou Xiong, Thomas S. Huang

Coordinated Science Lab

Research output: Contribution to conference › Paper › peer-review

Abstract

The contribution of this paper is the development of a fast, subband-based JPEG2000 image indexing system in compressed domain which achieves high memory efficiency. This is the extended work on a previously block-based indexing system. The feature extracted is variance of each wavelet subband in compressed domain with the emphasis that subbands are not buffered to maintain memory efficiency. Retrieval performance on VisTex image database indexing has shown the effectiveness and speed up of execution of the proposed features.

Original language	English (US)
Pages	I/481-I/484
State	Published - 2002
Event	International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: Sep 22 2002 → Sep 25 2002

Other

Other	International Conference on Image Processing (ICIP'02)
Country/Territory	United States
City	Rochester, NY
Period	9/22/02 → 9/25/02

ASJC Scopus subject areas

Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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title = "Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images",

abstract = "The contribution of this paper is the development of a fast, subband-based JPEG2000 image indexing system in compressed domain which achieves high memory efficiency. This is the extended work on a previously block-based indexing system. The feature extracted is variance of each wavelet subband in compressed domain with the emphasis that subbands are not buffered to maintain memory efficiency. Retrieval performance on VisTex image database indexing has shown the effectiveness and speed up of execution of the proposed features.",

author = "Ziyou Xiong and Huang, {Thomas S.}",

year = "2002",

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pages = "I/481--I/484",

note = "International Conference on Image Processing (ICIP'02) ; Conference date: 22-09-2002 Through 25-09-2002",

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AU - Xiong, Ziyou

AU - Huang, Thomas S.

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AB - The contribution of this paper is the development of a fast, subband-based JPEG2000 image indexing system in compressed domain which achieves high memory efficiency. This is the extended work on a previously block-based indexing system. The feature extracted is variance of each wavelet subband in compressed domain with the emphasis that subbands are not buffered to maintain memory efficiency. Retrieval performance on VisTex image database indexing has shown the effectiveness and speed up of execution of the proposed features.

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M3 - Paper

AN - SCOPUS:0036451676

SP - I/481-I/484

T2 - International Conference on Image Processing (ICIP'02)

Y2 - 22 September 2002 through 25 September 2002

ER -

Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images

Abstract

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ASJC Scopus subject areas

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