Abstract
One of the most significant problems in content-based image retrieval results from the lack of a common test-bed for researchers. Although many published articles report on content-based retrieval results using color photographs, there has been little effort in establishing a benchmark set of images and queries. Doing so would have many benefits in advancing the technology and utility of content-based image retrieval systems. We address the growing need for establishing a common content-based image retrieval test-bed.
Keywords
Computer scienceImage retrievalContent-based image retrievalInformation retrievalBenchmark (surveying)Set (abstract data type)Visual WordTest (biology)Image (mathematics)Automatic image annotationArtificial intelligenceComputer visionGeography
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Publication Info
- Year
- 2002
- Type
- article
- Pages
- 112-113
- Citations
- 119
- Access
- Closed
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Cite This
J. R. Smith
(2002).
Image retrieval evaluation.
, 112-113.
https://doi.org/10.1109/ivl.1998.694520
Identifiers
- DOI
- 10.1109/ivl.1998.694520