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<p><b>Abstract</b>—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 <it>msec</it> on a 266 MHz Pentium II processor, compared to several seconds of retrieval time in the earlier systems proposed in the literature.</p>
Wavelet transform, content-based image indexing, query by example, image retrieval, scalable indexing, retrieval systems.

A. A. Khokhar, E. Albuz and E. Kocalar, "Scalable Color Image Indexing and Retrieval Using Vector Wavelets," in IEEE Transactions on Knowledge & Data Engineering, vol. 13, no. , pp. 851-861, 2001.
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