Semantics of User Interface for Image Retrieval: Possibility Theory and Learning Techniques.

Crehange, M.; And Others

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Peer reviewed

ERIC Number: EJ405660

Record Type: Journal

Publication Date: 1989

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Semantics of User Interface for Image Retrieval: Possibility Theory and Learning Techniques.

Crehange, M.; And Others

Information Processing and Management, v25 n6 p615-27 1989

Discusses the need for a rich semantics for the user interface in interactive image retrieval and presents two methods for building such interfaces: possibility theory applied to fuzzy data retrieval, and a machine learning technique applied to learning the user's deep need. Prototypes developed using videodisks and knowledge-based software are described. (34 references) (CLB)

Descriptors: Computer Software, Expert Systems, Information Retrieval, Interactive Video, Man Machine Systems, Models, Nonprint Media, Semantics, User Needs (Information), Videodisks

Publication Type: Journal Articles; Reports - Research

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Language: English

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