Color-based image retrieval using spatial-chromatic histograms

被引:61
作者
Cinque, L
Ciocca, G
Levialdi, S
Pellicanò, A
Schettini, R
机构
[1] Univ Roma La Sapienza, Dipartimento Sci Informaz, I-00198 Rome, Italy
[2] CNR, Ist Tecnol Informat Multimediali, I-20131 Milan, Italy
关键词
image retrieval; image indexing; color quantization; query processing; spatial-chromatic histogram;
D O I
10.1016/S0262-8856(01)00060-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper describes a new indexing methodology for image databases integrating color and spatial information for content-based image retrieval. This methodology, called Spatial-Chromatic Histogram (SCH), synthesizing in few values information about the location of pixels having the same color and their arrangement within the image, can be more satisfactory than standard techniques when the user would like to retrieve from the database the images that actually resemble the query image selected in their color distribution characteristics. Experimental trials on a database of about 3000 images are reported and compared with more standard techniques, like Color Coherence Vectors, on the basis of human perceptual judgments. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:979 / 986
页数:8
相关论文
共 32 条