Image retrieval based on perceptive weighted color blocks

被引:49
作者
Li, XL [1 ]
机构
[1] Univ Sci & Technol China, Dept Electron Eng & Informat Sci, Informat Proc Ctr, Hefei 230027, Anhui, Peoples R China
关键词
image retrieval; sub-block; perceptive weighted;
D O I
10.1016/S0167-8655(03)00032-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel algorithm based on running sub-blocks with different similarity weights is proposed for object-based image retrieval. By splitting the entire image into certain sub-blocks, we use color region information and similarity matrix analysis to retrieval images under the query of special object. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1935 / 1941
页数:7
相关论文
共 23 条
[1]   Blobworld: Image segmentation using expectation-maximization and its application to image querying [J].
Carson, C ;
Belongie, S ;
Greenspan, H ;
Malik, J .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (08) :1026-1038
[2]  
Chua TS, 1997, IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS '97, PROCEEDINGS, P362, DOI 10.1109/MMCS.1997.609637
[3]   Unsupervised segmentation of color-texture regions in images and video [J].
Deng, YN ;
Manjunath, BS .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (08) :800-810
[4]  
GONG Y, 1995, P 2 INT C MULT MOD S, P115
[5]   EFFICIENT COLOR HISTOGRAM INDEXING FOR QUADRATIC FORM DISTANCE FUNCTIONS [J].
HAFNER, J ;
SAWHNEY, HS ;
EQUITZ, W ;
FLICKNER, M ;
NIBLACK, W .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (07) :729-736
[6]  
Li XL, 2002, 2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, P1126
[7]  
LI XL, 2002, IEEE INT C METH MOD, P555
[8]  
LI XL, 2002, IEEE INT C MACH LEAR, P1119
[9]  
LU H, 1994, INT C APPL DB
[10]  
MATLIN MW, 1991, SENSATION PERCEPTION