Joint spatial-spectral indexing for image retrieval
نویسندگان
چکیده
Asha Vellaikal y;z y Information Sciences Laboratory Hughes Research Laboratories 3011 Malibu Canyon Road Malibu, CA 90265-4799 e-mail: [email protected] C.-C. Jay Kuo z z Integrated Media Systems Center Department of Electrical Engineering-Systems University of Southern California Los Angeles, CA 90089-2564 e-mail: [email protected] ABSTRACT Processing images directly in the compressed domain is very bene cial from the standpoint of lowering the computational complexity. In this paper we present a method of extracting features directly from the DCT coe cients of JPEG compressed imagery for the purpose of aiding image retrieval from a database. Our approach is characterized by a quadtree-based spatial structuring of the image followed by calculation of DCT coe cient features at the various nodes. Features based on DC and energy of AC coe cients are shown to be e ective for queries concerning color, edge and texture properties.
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