Color Image Retrieval Based on Primitives of Color Moments

Authors:
Jau-Ling Shih;Ling-Hwei Chen
Affiliations:
-;-
Venue:
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Year:
2002

Citing 5
Cited 1

Color indexing

International Journal of Computer Vision
Visually Searching the Web for Content

IEEE MultiMedia
Query by Image and Video Content: The QBIC System

Computer
Image Indexing Using Color Correlograms

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
An efficient low-dimensional color indexing scheme for region-based image retrieval

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06

Using expert-derived aesthetic attributes to help users in exploring image databases

DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a color image retrieval method based on the primitives of color moments will be proposed. First, an image is divided into several blocks. Then, the color moments of all blocks are extracted and clustered into several classes. The mean moments of each class are considered as a primitive of the image. All primitives are used as features. Since two different images may have different numbers of features, a new similarity measure is then proposed. To demonstrate the effectiveness of the proposed method, a test database from Corel is used to compare the performances of the proposed method with other existing ones. The experimental results show that the proposed method is better than others.