Title :
Dominant Color Structure Descriptor for Image Retrieval
Author :
Wong, Ka-Man ; Po, Lai-Man ; Cheung, Kwok-Wai
Author_Institution :
City Univ. of Hong Kong, Kowloon
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
A new dominant color structure descriptor (DCSD) is proposed in this paper. It is designed to provide an efficient way to represent both color and spatial structure information with single compact descriptor. The descriptor combines the compactness of dominant color descriptor (DCD) and the retrieval accuracy of color structure descriptor (CSD) to enhance the retrieval performance in a highly efficient manner. The feature extraction and similarity measure of the descriptor are designed to address the problems of the existing descriptors while utilize the advantages of them. Experimental results show that DCSD has a significant improvement on both retrieval performance and descriptor size over DCD. An eight-color DCSD (DCSD 8) gives an averaged normalized modified retrieval rate (ANMRR) of 0.0993 using MPEG-7 common color dataset, outperforming compact configurations of scalable color descriptor and color structure descriptor with smaller descriptor size.
Keywords :
feature extraction; image colour analysis; image matching; image representation; statistical analysis; color image representation; dominant color structure descriptor; feature extraction; image matching; image retrieval; similarity measure algorithm; spatial structure information; structure histogram; Cross layer design; Feature extraction; Histograms; Image databases; Image retrieval; Information retrieval; MPEG 7 Standard; Multimedia databases; Multimedia systems; Quantization; Content Based Image Retrieval; Dominant Color Structure Descriptor;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379597