Content-based object organization for efficient image retrieval in image databases

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1901-1916
Journal / PublicationDecision Support Systems
Volume42
Issue number3
StatePublished - Dec 2006
Externally publishedYes

Abstract

Much research has focused on content-based image retrieval (CBIR) methods that can be automated in image classification and query processing. In this paper, we propose a blob-centric image retrieval scheme based on the blobworld representation. The blob-centric scheme consists of several newly proposed components, including an image classification method, an image browsing method based on semantic hierarchy of representative blobs, and a blob search method based on multidimensional indexing. We present the database structures and their maintenance algorithms for these components and conduct a performance comparison of three image retrieval methods, the naive method, the representative-blobs method, and the indexed-blobs method. Our quantitative analysis shows significant reduction in query response time by using the representative-blobs method and the indexed-blobs method. © 2006 Elsevier B.V. All rights reserved.

Research Area(s)

  • Blob-centric image representation, Content-based image retrieval, Image database management, MB+-trees, Multi-dimensional indexing, Object-oriented image organization