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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
Rorvig, Mark E.; Wilcox, Mark E. – Information Technology and Libraries, 1997
Discusses some of the theory underlying visual access tools for special collections, introduces a specific World Wide Web application using the technology, and indicates some of the potential of the tool for visual access to images as well as text documents. Appendices include texts of courses used for proximity calculations as well as NASA…
Descriptors: Access to Information, Computer System Design, Information Retrieval, Information Sources
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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
Mostafa, Javed; Dillon, Andrew – Proceedings of the ASIS Annual Meeting, 1996
Describes the ViewFinder interface, designed at Indiana University as a client to a database server; it supports querying based on both visual and verbal clues. Presents results of usability analysis performed on ViewFinder with 18 users. High search success rates were achieved through both types of querying means; verbal clues were used more than…
Descriptors: Computer Interfaces, Computer System Design, Information Retrieval, Information Seeking