Multiview Rank Learning for Multimedia Known Item Search

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dc.contributor.advisorDomeniconi, Carlotta
dc.contributor.authorEtter, David
dc.creatorEtter, David
dc.date.accessioned2015-07-29T18:42:49Z
dc.date.available2015-07-29T18:42:49Z
dc.date.issued2015
dc.description.abstractKnown Item Search (KIS) is a specialized task of the general multimedia search problem. KIS describes the scenario where a user has seen a video before, must formulate a text description based on what he remembers, and knows that there is only one correct answer. The KIS task takes as input a text-only description and returns the ranked list of videos most likely to match the known item.
dc.format.extent123 pages
dc.identifier.urihttps://hdl.handle.net/1920/9698
dc.language.isoen
dc.rightsCopyright 2015 David Etter
dc.subjectMultimedia
dc.subjectComputer science
dc.subjectKnown Item Search
dc.subjectMultimedia
dc.subjectMultiview
dc.subjectRanking
dc.titleMultiview Rank Learning for Multimedia Known Item Search
dc.typeDissertation
thesis.degree.disciplineComputational Science
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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