Share Email Print
cover

Proceedings Paper

Single-feature query by multi-examples in image databases
Author(s): Surya Nepal; Medahalli V. Ramakrishna
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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,..., In 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.

Paper Details

Date Published: 11 October 2000
PDF: 12 pages
Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); doi: 10.1117/12.403830
Show Author Affiliations
Surya Nepal, RMIT Univ. (Australia)
Medahalli V. Ramakrishna, Monash Univ. (Australia)


Published in SPIE Proceedings Vol. 4210:
Internet Multimedia Management Systems
John R. Smith; Chinh Le; Sethuraman Panchanathan; C.-C. Jay Kuo, Editor(s)

© SPIE. Terms of Use
Back to Top