Paper
19 August 1998 Multidimensional indexing for content-based image retrieval
J. Leon Zhao, Sai Ho Kwok
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Leon Zhao and Sai Ho Kwok "Multidimensional indexing for content-based image retrieval", Proc. SPIE 3561, Electronic Imaging and Multimedia Systems II, (19 August 1998); https://doi.org/10.1117/12.319734
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KEYWORDS
Image retrieval

Databases

Content based image retrieval

Algorithm development

Quantitative analysis

Image processing

Data storage

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