DocumentCode :
1430650
Title :
A new approach to image retrieval with hierarchical color clustering
Author :
Wan, Xia ; Kuo, C. C Jay
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Volume :
8
Issue :
5
fYear :
1998
fDate :
9/1/1998 12:00:00 AM
Firstpage :
628
Lastpage :
643
Abstract :
After performing a thorough comparison of different quantization schemes in the RGB, HSV, YUV, and CIEL*u*v* color spaces, we propose to use color features obtained by hierarchical color clustering based on a pruned 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 classification; image colour analysis; image matching; information retrieval; octrees; quantisation (signal); visual databases; CIEL*u*v* color spaces; DBMS; HSV color space; RGB color space; YUV color space; color features; color histogram; distinctive colors; dominant color; hierarchical color clustering; hue; image retrieval; multiple color features; performance; pixel matching; pruned octree data structure; quantization schemes; saturation; selective filtering; similarity measurements; value; Content based retrieval; Data structures; Histograms; Horses; Image databases; Image retrieval; Indexing; Information retrieval; Multimedia databases; Quantization;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/76.718509
Filename :
718509
Link To Document :
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