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Bridging the Gap: Query by Semantic Example
2007
IEEE transactions on multimedia
A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a vocabulary of visual concepts, as is usual in SR. Each image is then represented by a vector, referred to as a semantic multinomial, of posterior concept probabilities. Retrieval is based on the query-by-example paradigm: the user provides a query image, for which 1) a semantic multinomial is computed and 2) matched to those
doi:10.1109/tmm.2007.900138
fatcat:6g2tyue26vfnxndcsoavvbohze