Publication Type

Conference Proceeding Article

Publication Date

10-2013

Abstract

As an effective technique to manage large scale image collections, content-based image retrieval (CBIR) has been received great attentions and became a very active research domain in recent years. While assessing system performance is one of the key factors for the related technological advancement, relatively little attention has been paid to model and analyze test queries. This paper documents a study on the problem of determining visual query complexity as a measure for predicting image retrieval performance. We propose a quantitative metric for measuring complexity of image queries for content-based image search engine. A set of experiments are carried out using IAPR TC-12 Benchmark. The results demonstrate the effectiveness of the measurement, and verify that the retrieval accuracy of a query is inversely associated with the complexity level of its visual content.

Keywords

CBIR, Evaluation, Image, Performance

Discipline

Computer Sciences | Databases and Information Systems

Research Areas

Data Management and Analytics

Publication

The era of interactive media: Proceedings of the 12th IEEE Pacific Rim Conference on Multimedia: Sydney, December 20-22, 2011

First Page

531

Last Page

541

ISBN

9781461435006

Identifier

10.1007/978-1-4614-3501-3_44

Publisher

Springer

City or Country

New York

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1007/978-1-4614-3501-3_44

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