Title

Support Concurrent Queries In Multiuser Cbir Systems

Abstract

Various techniques have been developed for different query types in content-based image retrieval (CBIR) 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 develop new storage and query processing techniques to exploit sequential access and leverage interquery concurrency to share computation. Our experimental results, based on the Corel dataset, indicates that the proposed optimization can significantly reduce average response time in a multiuser environment. © 2007 IEEE.

Publication Date

9-24-2007

Publication Title

Proceedings - International Conference on Data Engineering

Number of Pages

1379-1381

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICDE.2007.369016

Socpus ID

34548796462 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34548796462

This document is currently not available here.

Share

COinS