A study of order-based block color feature image retrieval compared with cumulative color histogram method

Authors:
Shoujue Wang;Hong Qin
Affiliations:
Laboratory of Artificial Neural Networks, Institute of Semiconductors, CAS, Beijing, China;Laboratory of Artificial Neural Networks, Institute of Semiconductors, CAS, Beijing, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

Citing 6
Cited 0

Color indexing

International Journal of Computer Vision
Query by Image and Video Content: The QBIC System

Computer
An Overview of Content-based Image Retrieval Techniques

AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Sum of Values of Local Histograms for Image Retrieval

NCM '08 Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management - Volume 02
The Content-Based Image Retrieval Method Using Multiple Features

NCM '08 Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management - Volume 01
The PicToSeek WWW Image Search System

ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

Color is one of the most important features in image retrieval. Color histograms have proved to be stable representations of an image, but they might be similar in different kinds of images because they describe the global intensity distribution of images. A new color image representation method is proposed in this paper. At first, each color channel (R, G, B) of an image is divided into 48 blocks (6 rows × 8 columns). Secondly, statistical features are computed to characterize the block's color feature. Finally, all block features are combined to form an image's color feature. The experimental results show that the retrieval effectiveness of the proposed technique is better than color histogram-based method.