DocumentCode :
3126203
Title :
On the use of hierarchical color moments for image indexing and retrieval
Author :
Mostafa, Tamer ; Abbas, Hazem M. ; Wahdan, AbdelMonem A.
Author_Institution :
Fac. of Eng., Ain Shams Univ., Cairo, Egypt
Volume :
7
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
Given a database of images and their associated data, we want to search the database for a known image so as to retrieve the data associated with that image. The paper proposes a new image-based indexing scheme which enables the retrieval of data associated with an image. The approach proposed is based on using a hierarchy of color moments and offers a compromise between methods based on multiple color moments of segmented regions and those based on global color moments. The method retains positional information better than the above schemes and naturally leads to a multi-level comparison strategy where mismatches are quickly discarded at higher levels. Contrary to other schemes where three moments were used, the proposed methods provide better storage efficiency and less computational efforts as it only employs the first two moments. Simulation results show the efficiency and accuracy of the proposed scheme.
Keywords :
content-based retrieval; database indexing; image colour analysis; image matching; image representation; image retrieval; image segmentation; visual databases; data retrieval; global color moments; hierarchical color moments; image indexing; image retrieval; images database; multi-level comparison strategy; positional information; segmented regions; Content based retrieval; Data engineering; Histograms; Image databases; Image retrieval; Image segmentation; Indexing; Information retrieval; Shape; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1175706
Filename :
1175706
Link To Document :
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