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dc.contributor.advisorNowak, Robert
dc.contributor.authorRao, Nikhil
dc.date.accessioned2011-02-09T22:35:27Z
dc.date.available2011-02-09T22:35:27Z
dc.date.issued2010-12-15
dc.identifier.urihttp://digital.library.wisc.edu/1793/48308
dc.description.abstractHumans are adept at identifying informative regions in individual images, but it is a slow and often tedious task to identify the salient parts of every image in a large corpus. A machine, on the other hand, can sift through a large amount of data quickly, but machine methods for identifying salient regions are unreliable. In this work, we develop a new method for identifying salient regions in images and compare this to two previously reported approaches. We then consider how such machine-saliency methods can be used to improve human performance in a realistic target-detection task.en
dc.titleUsing Machines to Improve Human Saliency Detectionen
dc.typeProject Reporten
thesis.degree.levelMSen
thesis.degree.disciplineElectrical Engineeringen


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