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

Ziyou Xiong, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Volume1
StatePublished - 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002

Other

OtherInternational Conference on Image Processing (ICIP'02)
CountryUnited States
CityRochester, NY
Period9/22/029/25/02

ASJC Scopus subject areas

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

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  • Cite this

    Xiong, Z., & Huang, T. S. (2002). Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images. In IEEE International Conference on Image Processing (Vol. 1)