DocumentCode :
1840287
Title :
Image Retrieval Based on MPEG-7 Dominant Color Descriptor
Author :
Shao, Hong ; Wu, Yueshu ; Cui, Wencheng ; Zhang, Jinxia
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang
fYear :
2008
fDate :
18-21 Nov. 2008
Firstpage :
753
Lastpage :
757
Abstract :
The dominant color descriptor (DCD) is widely applied in the image retrieval taken as one of MPEG-7 color descriptors. DCD describes the representative color distributions and features in an image or a region of interest through an effective, compact and intuitive format. A novel image retrieval method based on the fixed number´s MPEG-7 dominant color descriptor is proposed. The feature extraction process does not need the intervention of the threshold value and the dominant color number is fixed as eight. The histogram intersection algorithm is used to measure features, simplifies the similarity computation complexity. The experiment results show that the precision and recall rate of this method is higher than that of non-fixed number´s dominant color retrieval method.
Keywords :
feature extraction; image colour analysis; image retrieval; MPEG-7 dominant color descriptor; dominant color retrieval method; feature extraction process; histogram intersection algorithm; image retrieval method; representative color distributions; Data mining; Feature extraction; Histograms; Humans; Image color analysis; Image databases; Image retrieval; Information retrieval; MPEG 7 Standard; Spatial databases; Dominant color descriptor; color space; feature extraction; image retrieval; mpeg-7;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
Type :
conf
DOI :
10.1109/ICYCS.2008.89
Filename :
4709068
Link To Document :
بازگشت