Image retrieval based on JPEG compressed data

Xia Wan; C.-C. Jay Kuo

doi:10.1117/12.257281

1 November 1996 Image retrieval based on JPEG compressed data

Xia Wan, C.-C. Jay Kuo

Author Affiliations +

Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996) https://doi.org/10.1117/12.257281
Event: Photonics East '96, 1996, Boston, MA, United States

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.

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Xia Wan, Xia Wan, C.-C. Jay Kuo, C.-C. Jay Kuo, "Image retrieval based on JPEG compressed data", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); doi: 10.1117/12.257281; https://doi.org/10.1117/12.257281

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