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Proceedings Paper

Image retrieval based on JPEG compressed data
Author(s): Xia Wan; C.-C. Jay Kuo
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Paper Abstract

Image retrieval based on JPEG compressed data is investigated in this research. Two low level features are extracted in the DCT domain to facilitate content-based retrieval. They are tree-structured color representations of the DC coefficients of Y, Cb, and Cr block arrays and the energy distribution of AC coefficients to denote different textured patterns. Multiresolution indexing schemes are employed to achieve fast retrieval with both color and texture features. Finally, the retrieval performance is improved by a new method which combines both color and energy features.

Paper Details

Date Published: 1 November 1996
PDF: 12 pages
Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); doi: 10.1117/12.257281
Show Author Affiliations
Xia Wan, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 2916:
Multimedia Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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