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dc.contributor.advisorLeggett, John J.
dc.creatorChang, Michelle T.
dc.date.accessioned2004-09-30T01:41:27Z
dc.date.available2004-09-30T01:41:27Z
dc.date.created2003-05
dc.date.issued2004-09-30
dc.identifier.urihttps://hdl.handle.net/1969.1/69
dc.description.abstractCollection understanding shifts the traditional focus of retrieval in large collections from locating specific artifacts to gaining a comprehensive view of the collection. Visualization tools are critical to the process of efficient collection understanding. By presenting simple visual interfaces and intuitive methods of interacting with a collection, users come to understand the essence of the collection by focusing on the artifacts. This thesis discusses a practical approach for enhancing collection understanding in image collections.en
dc.format.extent2665529 bytesen
dc.format.extent81495 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectinformation visualizationen
dc.subjectstreaming collageen
dc.subjectambient displayen
dc.subjectimage collectionsen
dc.titleCollection understandingen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentComputer Scienceen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberRosenheim, James
dc.contributor.committeeMemberFuruta, Richard
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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