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.