Efficiently support concurrent queries in multiuser CBIR systems

    Authors

    D. Z. Liu; K. Hua;N. Yu

    Comments

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    Abbreviated Journal Title

    Multimed. Tools Appl.

    Keywords

    Content-based image retrieval; Relevance feedback; Target search; Category search; Index structures; IMAGE RETRIEVAL-SYSTEM; RELEVANCE FEEDBACK; PERFORMANCE; Computer Science, Information Systems; Computer Science, Software; Engineering; Computer Science, Theory & Methods; Engineering, Electrical; & Electronic

    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.

    Journal Title

    Multimedia Tools and Applications

    Volume

    42

    Issue/Number

    3

    Publication Date

    1-1-2009

    Document Type

    Article

    Language

    English

    First Page

    273

    Last Page

    293

    WOS Identifier

    WOS:000264487500001

    ISSN

    1380-7501

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