Title

Efficiently Support Concurrent Queries In Multiuser Cbir Systems

Keywords

Category search; Content-based image retrieval; Index structures; Relevance feedback; Target search

Abstract

Various techniques have been developed for different query types in content-based image retrieval systems such as sampling queries, constrained sampling queries, multiple constrained sampling queries, k-NN queries, constrained k-NN queries, and multiple localized k-NN queries. In this paper, we propose a generalized query model suitable for expressing queries of different types, and investigate efficient processing techniques for this new framework. We exploit sequential access and data sharing by developing new storage and query processing techniques to leverage inter-query concurrency. Our experimental results, based on the Corel dataset, indicate that the proposed optimization can significantly reduce average response time in a multiuser environment, and achieve better retrieval precision and recall compared to two recent techniques. © 2008 Springer Science + Business Media, LLC.

Publication Date

1-1-2009

Publication Title

Multimedia Tools and Applications

Volume

42

Issue

3

Number of Pages

273-293

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/s11042-008-0244-x

Socpus ID

84898009700 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84898009700

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