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dc.contributor.authorGao, Xiheen_US
dc.contributor.authorBrooksy, Stephenen_US
dc.contributor.authorArnold, Dirk V.en_US
dc.contributor.editorDonald House and Cindy Grimmen_US
dc.date.accessioned2016-02-18T10:14:06Z
dc.date.available2016-02-18T10:14:06Z
dc.date.issued2013en_US
dc.identifier.isbn978-1-4503-2203-4en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttp://dx.doi.org/10.1145/2487276.2487286en_US
dc.description.abstractComputational visual attention systems detect regions of interest in images. These systems have a broad range of applications in areas such as computer vision, computational aesthetics, and nonphotorealistic rendering. However, almost all the systems to date are designed for low dynamic range (LDR) images and may not be suitable for analyzing saliency in high dynamic range (HDR) images. We propose a novel algorithm for saliency analysis of HDR images that is based on virtual photographs. Taking virtual photographs is the inverse process of generating HDR images from multiple LDR exposures, and the virtual photograph sequence has the capacity to more comprehensively reveal salient content in HDR images. We demonstrate that our method can produce more consistently reliable results than existing methods.en_US
dc.publisherACMen_US
dc.subjectCR Categoriesen_US
dc.subjectI.4.0 [Image Processing and Computer Vision]en_US
dc.subjectGeneralen_US
dc.subjectImage processing softwareen_US
dc.subjectI.4.7 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectKeywordsen_US
dc.subjectHDR imagesen_US
dc.subjectsaliency analysisen_US
dc.subjectvirtual photographsen_US
dc.titleVirtual Photograph Based Saliency Analysis of High Dynamic Range Imagesen_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization, and Imagingen_US
dc.description.sectionheadersImage Processing / Visionen_US
dc.identifier.doi10.1145/2487276.2487286en_US
dc.identifier.pages87-92en_US


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