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Multiview Rank Learning for Multimedia Known Item Search

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dc.contributor.advisor Domeniconi, Carlotta Etter, David
dc.creator Etter, David 2015-07-29T18:42:49Z 2015-07-29T18:42:49Z 2015
dc.description.abstract Known 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.extent 123 pages
dc.language.iso en
dc.rights Copyright 2015 David Etter
dc.subject Multimedia en_US
dc.subject Computer science en_US
dc.subject Known Item Search en_US
dc.subject Multimedia en_US
dc.subject Multiview en_US
dc.subject Ranking en_US
dc.title Multiview Rank Learning for Multimedia Known Item Search
dc.type Dissertation en Doctoral en Computational Science en George Mason University en

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