A multiresolution color clustering approach to image indexing and retrieval

Author

Wan, Xia ; Kuo, C. C Jay

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

6

fYear

1998

fDate

12-15 May 1998

Firstpage

3705

Abstract

We propose a multiresolution color feature extraction scheme based on octree data structure to achieve efficient and robust image retrieval. With the proposed method, multiple color features, including the dominant color, the number of distinctive colors and the color histogram, can be naturally integrated into one framework. A selective filtering strategy is also described to speed up the retrieval process. Retrieval examples are given to illustrate the performance of the proposed approach

Keywords

feature extraction; filtering theory; image colour analysis; image resolution; indexing; octrees; pattern recognition; query processing; visual databases; color feature extraction; color histogram; distinctive colors; dominant color; image indexing; image retrieval; multiple color features; multiresolution color clustering; octree data structure; performance; selective filtering; Color; Feature extraction; Filtering; Histograms; Image resolution; Image retrieval; Indexing; Information retrieval; Quantization; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.679688

Filename

679688