Single-feature query by multi-examples in image databases

Surya Nepal; Medahalli V. Ramakrishna

doi:10.1117/12.403830

Abstract

A common form of queries encountered in Content-Based Image Retrieval (CBIR) systems, such as QBIC and Virage, are query by example image (QBE). We encountered this problem in our implementation of a prototype CBIR system, called CHITRA. This system supports four layer image data model and enable high level concept definition such as SUNSET. Users can pose queries of the form retrieve all images that have SUNSET and MOUNTAINS. We are addressing the problem of processing queries of the form retrieve all images similar to I₁, I₂,..., I_n based on color. We refer to such queries as SF-QBME. Essentially the same problem is encountered in processing high level concept queries such as SUNSET and MOUNTAINS above. Processing of such queries has received some recent research attention. Processing SF-QBME queries involves dealing with multiple points in a single feature space. We first provide the motivation for use of such queries in the context of similarity based retrieval. We then define the exact low level semantics of such queries, and provide the corresponding processing strategies. The experimental performance results that demonstrate the capability of SF-QBME are also presented.

Citation Download Citation

Surya Nepal, Surya Nepal, Medahalli V. Ramakrishna, Medahalli V. Ramakrishna, "Single-feature query by multi-examples in image databases", Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); doi: 10.1117/12.403830; https://doi.org/10.1117/12.403830

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