Conference Proceeding Article
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.
CBIR, Evaluation, Image, Performance
Computer Sciences | Databases and Information Systems
Data Management and Analytics
The era of interactive media: Proceedings of the 12th IEEE Pacific Rim Conference on Multimedia: Sydney, December 20-22, 2011
City or Country
SHEN, Jialie and CHENG ZHIYONG.
On effects of visual query complexity. (2013). The era of interactive media: Proceedings of the 12th IEEE Pacific Rim Conference on Multimedia: Sydney, December 20-22, 2011. 531-541. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3536
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