Multidimensional indexing for content-based image retrieval

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journalNot applicable

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)14-21
Journal / PublicationProceedings of SPIE - The International Society for Optical Engineering
Volume3561
StatePublished - 1998
Externally publishedYes

Conference

TitleProceedings of the 1998 Conference on Electronic Imaging and Multimedia Systems II
CityBeijing, China
Period18 - 19 September 1998

Abstract

Based on the blobworld method, we propose a blob-centric image querying scheme that is comprised of several new techniques in content-based image retrieval. We report our research results in the database structure and maintenance algorithms for image indexing. We further conduct a performance comparison of image retrieval efficiency for three possible image retrieval methods, the naive method, the representative-blobs method, and the indexing method. Our quantitative analysis shows over 90% reduction in query response time by using the representative-blobs method and the indexing method.