MOSAIC: A Multi-Feature Access Method for Large Image Databases

In this paper, we present an image retrieval system that made used of an index structure, called MOSAIC to facilitate speedy retrieval of images. MOSIAC is a multi-tier structure that indexes multiple features of an image, with each tier dealing with one feature. Our current implementation of MOSAIC...

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Bibliographic Details
Main Authors: Goh, Shen-Tat, Tan, Kian-Lee
Format: Book Chapter
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Exact sciences and technology
Image Retrieval
Index Structure
Information systems. Data bases
Memory organisation. Data processing
Mosaic Structure
Range Query
Relevant Image
Software
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Summary:In this paper, we present an image retrieval system that made used of an index structure, called MOSAIC to facilitate speedy retrieval of images. MOSIAC is a multi-tier structure that indexes multiple features of an image, with each tier dealing with one feature. Our current implementation of MOSAIC organizes images based on color, size and spatial location of clusters extracted from the images. We evaluated MOSAIC, and our results show that it is able to prune the search space and retrieve relevant images quickly.
ISSN:0302-9743
1611-3349
DOI:10.1007/3-540-48309-8_81