Scalable color image indexing and retrieval using vector wavelets

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 al...

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Bibliographic Details
Published in:IEEE transactions on knowledge and data engineering 2001-09, Vol.13 (5), p.851-861
Main Authors: Albuz, E., Kocalar, E., Khokhar, A.A.
Format: Article
Language:English
Subjects:
Color
Content based retrieval
Delay
Image databases
Image retrieval
Indexing
Information retrieval
Mathematical analysis
Retrieval
Searching
Space technology
Spatial databases
Vectors (mathematics)
Wavelet
Wavelet coefficients
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Summary: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.
ISSN:1041-4347
1558-2191
DOI:10.1109/69.956109