DocumentCode :
1740811
Title :
A hierarchical characterization scheme for image retrieval
Author :
Wenyin, Liu ; Wang, Tao ; Zhang, Hongjiang
Author_Institution :
Microsoft Res., Beijing, China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
42
Abstract :
In this paper, we present a study of hierarchically characterizing image content from coarse level to fine level conducted using a series of shape features as a case in point. In this work, we have empirically proved that this hierarchical characterization is effective and necessary. We have used this hierarchical multimedia content characterization scheme in our shape retrieval experiments and see that the hierarchical method obtains similar performance in the retrieval of similar shapes to that of the simultaneous method (calculating similarity based on all features at a time), while the efficiency has been increased significantly
Keywords :
content-based retrieval; feature extraction; image recognition; image retrieval; visual databases; coarse level; efficiency; fine level; hierarchical characterization scheme; hierarchical method; hierarchical multimedia content characterization scheme; image content; image retrieval; shape features; shape retrieval; Content based retrieval; Feature extraction; Filtering; Humans; Image retrieval; Information retrieval; Internet; Machine intelligence; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.899281
Filename :
899281
Link To Document :
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