Paper
17 December 1998 Query vector projection access method
Author Affiliations +
Abstract
We present a new multidimensional access method for querying by similarity in databases of high-dimensional vectors. The query vector projection access method (QVPAM) addresses the shortcomings of other dimensionality reduction techniques by deriving the best transformation of the vectors at query time. QVPAM creates a projection library that contains building blocks for constructing the transformations. QVPAM rapidly searches the projection library at query time in order to select the set of projection elements that minimizes the work for processing the query. Since the selected set does not need to be complete, QVPAM effectively trades-off query precision and query response time. We describe QVPAM and demonstrate its performance in the content-based querying of a database of high-dimensional color histograms.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John R. Smith "Query vector projection access method", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333871
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Databases

Computing systems

Image retrieval

Space operations

Detection and tracking algorithms

Photography

Transition metals

RELATED CONTENT

Duplicate document detection
Proceedings of SPIE (April 03 1997)
XML data model for inverted image indexing
Proceedings of SPIE (January 10 2003)
Web-based medical image archive system
Proceedings of SPIE (May 16 2002)

Back to Top