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Stan, Daniela; Sethi, Ishwar K. – Information Processing & Management, 2003
Describes an exploration system for large image databases. The system, which consists of three stages, allows user to interpret and annotate an image in the context in which that image appears, dramatically reducing the time taken to annotate a large collection of images. Includes 25 figures and two tables. (AEF)
Descriptors: Computer System Design, Database Design, Imagery, Information Systems
Peer reviewed Peer reviewed
Mehtre, Babu M.; Kankanhalli, Mohan S.; Lee, Wing Foon – Information Processing & Management, 1998
Proposes a composite feature measure which combines the shape and color features of an image based on a clustering technique. A similarity measure computes the degree of match between a given pair of images; this technique can be used for content-based image retrieval of images using shape and/or color. Tests the technique on two image databases;…
Descriptors: Cluster Analysis, Color, Computer System Design, Databases
Peer reviewed Peer reviewed
Rowe, Neil C.; Frew, Brian – Information Processing & Management, 1998
Explores the indirect method of locating for indexing the likely explicit and implicit captions of photographs, using multimodal clues including the specific words used, syntax, surrounding layout of the Web page, and general appearance of the associated image. The MARIE-3 system thus avoids full image processing and full natural-language…
Descriptors: Captions, Computer System Design, Indexing, Information Processing