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1 November 1996 Image retrieval based on JPEG compressed data
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Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996)
Event: Photonics East '96, 1996, Boston, MA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xia Wan and C.-C. Jay Kuo "Image retrieval based on JPEG compressed data", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996);


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