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dc.contributor.authorSalamon, Nestoren_US
dc.contributor.authorBilleter, Markusen_US
dc.contributor.authorEisemann, Elmaren_US
dc.contributor.editorLee, Jehee and Theobalt, Christian and Wetzstein, Gordonen_US
dc.description.abstractA camera's shutter controls the incoming light that is reaching the camera sensor. Different shutters lead to wildly different results, and are often used as a tool in movies for artistic purpose, e.g., they can indirectly control the effect of motion blur. However, a physical camera is limited to a single shutter setting at any given moment. ShutterApp enables users to define spatio-temporally-varying virtual shutters that go beyond the options available in real-world camera systems. A user provides a sparse set of annotations that define shutter functions at selected locations in key frames. From this input, our solution defines shutter functions for each pixel of the video sequence using a suitable interpolation technique, which are then employed to derive the output video. Our solution performs in real-time on commodity hardware. Hereby, users can explore different options interactively, leading to a new level of expressiveness without having to rely on specialized hardware or laborious editing.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectComputational photography
dc.subjectcentered computing
dc.subjectInteraction techniques
dc.titleShutterApp: Spatio-temporal Exposure Control for Videosen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersImage and Video Editing

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  • 38-Issue 7
    Pacific Graphics 2019 - Symposium Proceedings

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