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Proceedings Paper

Multidimensional indexing for content-based image retrieval
Author(s): J. Leon Zhao; Sai Ho Kwok
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Paper 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.

Paper Details

Date Published: 19 August 1998
PDF: 8 pages
Proc. SPIE 3561, Electronic Imaging and Multimedia Systems II, (19 August 1998); doi: 10.1117/12.319734
Show Author Affiliations
J. Leon Zhao, Hong Kong Univ. of Science and Technology (Hong Kong)
Sai Ho Kwok, Hong Kong Univ. of Science and Technology (Hong Kong)


Published in SPIE Proceedings Vol. 3561:
Electronic Imaging and Multimedia Systems II
LiWei Zhou; Chung-Sheng Li, Editor(s)

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