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dc.contributor.authorMostafa, Javeden_US
dc.contributor.authorDillon, Andrewen_US
dc.contributor.editorHardin, Steveen_US
dc.date.accessioned2006-07-26T00:00:01Z
dc.date.available2010-06-18T23:19:25Z
dc.date.issued1996en_US
dc.date.submitted2006-07-26en_US
dc.identifier.citationDesign and evaluation of a user interface supporting multiple image query models 1996, 33en_US
dc.identifier.urihttp://hdl.handle.net/10150/105102
dc.description.abstractThis item is not the definitive copy. Please use the following citation when referencing this material: Mostafa, J. and Dillon, A. (1996) Design and Evaluation of a User Interface Supporting Multiple Image Query Models. Proceedings of the 59th Annual Conference of the American Society for Information Science, Baltimore, MD, USA, October 21-26, 1996. I. Introduction: Digital image use occurs in many fields. For example, in the area of medicine, huge volumes of digital images are routinely generated for diagnostic purposes, sometimes reaching gigabyte range (Gitlin, 1992). Besser (1990) has designed highly innovative image- based selection systems to improve access to visual resources in architecture, anthropology and art collections. There are also signs that museums and archives have accepted the value of digital image technology in their environments (Besser, 1991; Wentz, 1989). Unfortunately, the technology for effective storage and retrieval of images has not kept pace with the technology of image production. The situation has reached such a critical stage that National Science Foundation (NSF) organized a special workshop on the topic of visual information management (Jain, 1993). The NSF workshop report stated, "It would be impossible to cope with this explosion of image information, unless the images were organized for retrieval. The fundamental problem is that images, video, and other similar data differ from numeric data and text data format, and hence they require a totally different technique of organization, indexing and query processing." This paper addresses the critical need for different techniques in improving retrieval of digital images. Our position is that the user interface is the principal component responsible for facilitating retrieval in databases. Therefore, to assure effective access design of interfaces need to be improved.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherMedford, N.J.: ASISen_US
dc.subjectInformation Scienceen_US
dc.subjectInformation Retrievalen_US
dc.subjectHuman Computer Interactionen_US
dc.subjectHypertext and Hypermediaen_US
dc.subjectUser Studiesen_US
dc.subjectInformation Systemsen_US
dc.subjectInformation Architectureen_US
dc.titleDesign and evaluation of a user interface supporting multiple image query modelsen_US
dc.typeConference Paperen_US
refterms.dateFOA2018-06-23T04:29:10Z
html.description.abstractThis item is not the definitive copy. Please use the following citation when referencing this material: Mostafa, J. and Dillon, A. (1996) Design and Evaluation of a User Interface Supporting Multiple Image Query Models. Proceedings of the 59th Annual Conference of the American Society for Information Science, Baltimore, MD, USA, October 21-26, 1996. I. Introduction: Digital image use occurs in many fields. For example, in the area of medicine, huge volumes of digital images are routinely generated for diagnostic purposes, sometimes reaching gigabyte range (Gitlin, 1992). Besser (1990) has designed highly innovative image- based selection systems to improve access to visual resources in architecture, anthropology and art collections. There are also signs that museums and archives have accepted the value of digital image technology in their environments (Besser, 1991; Wentz, 1989). Unfortunately, the technology for effective storage and retrieval of images has not kept pace with the technology of image production. The situation has reached such a critical stage that National Science Foundation (NSF) organized a special workshop on the topic of visual information management (Jain, 1993). The NSF workshop report stated, "It would be impossible to cope with this explosion of image information, unless the images were organized for retrieval. The fundamental problem is that images, video, and other similar data differ from numeric data and text data format, and hence they require a totally different technique of organization, indexing and query processing." This paper addresses the critical need for different techniques in improving retrieval of digital images. Our position is that the user interface is the principal component responsible for facilitating retrieval in databases. Therefore, to assure effective access design of interfaces need to be improved.


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