Spatial-spectral feature analysis in JPEG and JPEG-2000

K. M. Au, Ngai Fong Law, W. C. Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Images are often compressed using algorithms such as JPEG and JPEG-2000. Retrieving these kinds of compressed images typically require processing them onto the uncompressed spatial form in which features are extracted for further analysis. This approach incurs many pre-processing operations, especially for large image archives. The objective of this paper is to study the common features in different compressed domains so that indexing can be done directly from their respective domains. By employing a subband filter model, filters in the block-based discrete cosine transform (BDCT) and wavelet transform (WT) can be directly compared. We have found that both filters share similar characteristics. In fact, the lowpass filters in the two transforms are the same for Hoar wavelet. Therefore, due to the filter similarity, similar features can be extracted from the BDCT and WT subband outputs. We have also studied the effect of compression on their similarity. Despite the high compression, large similarity can still be found. Both our theoretical and experimental studies confirm that common features can be extracted directly from the compressed domains irrespective of the value of the compression ratio and the use of BDCT or WT.
Original languageEnglish
Title of host publication2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages378-381
Number of pages4
Publication statusPublished - 1 Dec 2004
Event2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong
Duration: 20 Oct 200422 Oct 2004

Conference

Conference2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Country/TerritoryHong Kong
CityHong Kong, China
Period20/10/0422/10/04

ASJC Scopus subject areas

  • Engineering(all)

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