Joint spatial-spectral indexing for image retrieval

Author

Vellaikal, A. ; Kuo, C. -C Jay

Author_Institution

Inf. Sci. Lab., Hughes Res. Labs., Malibu, CA, USA

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

867

Abstract

Processing images directly in the compressed domain is very beneficial from the standpoint of lowering the computational complexity. In this paper we present a method of extracting features directly from the DCT coefficients 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 coefficient features at the various nodes. Features based on DC and energy of AC coefficients are shown to be effective for queries concerning color, edge and texture properties

Keywords

computational complexity; data compression; discrete cosine transforms; edge detection; feature extraction; image coding; image colour analysis; image texture; indexing; information retrieval; quadtrees; query formulation; transform coding; visual databases; AC coefficients; DC coefficients; DCT coefficients; JPEG compressed imagery; color; compressed domain; computational complexity; edge; image retrieval; joint spatial-spectral indexing; quadtree-based spatial structuring; queries; texture; Computational complexity; Discrete cosine transforms; Feature extraction; Image coding; Image databases; Image retrieval; Indexing; Information retrieval; Spatial databases; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560895

Filename

560895