Image Databases: Search and Retrieval of Digital Imagery

311 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Computing (2021, background): “By characterizing these mechanisms, we can adapt affective computing techniques to help humans design places that have a net positive effect on physical and mental health.”
Automated extraction and parameterization of motions in large data sets (2004, methodology): “However, most large data sets contain some sort of descriptive labels — if nothing else, a filename or location in the directory hierarchy can serve as clues to a motion’s contents.”
Three-dimensional shape searching: state-of-the-art review and future trends (2005, unknown): “Metrics have been applied in databases to find similar documents [22], images [23], audio [24], and movies [25].”
A search engine for 3D models (2003, methodology): “However, content-based retrieval and classification systems have also been developed for other multimedia data types, including audio [33], images [22], and video [90].”