Image retrieval evaluation
J. R. Smith
Abstract
J. R. Smith
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.
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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.
Key concepts: Computer science, Image retrieval, Content-based image retrieval, Information retrieval, Benchmark (surveying), Set (abstract data type), Visual Word, Test (biology)