DocumentCode :
1540155
Title :
Scalable color image indexing and retrieval using vector wavelets
Author :
Albuz, Elif ; Kocalar, Erturk ; Khokhar, Ashfaq A.
Author_Institution :
Sony Electron., San Jose, CA, USA
Volume :
13
Issue :
5
fYear :
2001
Firstpage :
851
Lastpage :
861
Abstract :
This paper presents a scalable content-based image indexing and retrieval system based on vector wavelet coefficients of color images. Highly decorrelated wavelet coefficient planes are used to acquire a search efficient feature space. The feature space is subsequently indexed using properties of all the images in the database. Therefore, the feature key of an image not only corresponds to the content of the image itself but also to how much the image is different from the other images being stored in the database. The search time linearly depends on the number of images similar to the query image and is independent of the database size. We show that, in a database of 5,000 images, query search takes less than 30 msec on a 266 MHz Pentium II processor, compared to several seconds of retrieval time in the earlier systems proposed in the literature
Keywords :
content-based retrieval; database indexing; image colour analysis; visual databases; wavelet transforms; Pentium II processor; color image indexing; content-based retrieval; decorrelated wavelet coefficient planes; image database; query by example; scalable content-based image indexing; search time; vector wavelet coefficients; wavelet transform; Color; Content based retrieval; Delay; Image databases; Image retrieval; Indexing; Information retrieval; Space technology; Spatial databases; Wavelet coefficients;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.956109
Filename :
956109
Link To Document :
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