Using Photographs to Enhance Videos of a Static Scene

dc.contributor.authorBhat, Pravinen_US
dc.contributor.authorZitnick, C. Lawrenceen_US
dc.contributor.authorSnavely, Noahen_US
dc.contributor.authorAgarwala, Aseemen_US
dc.contributor.authorAgrawala, Maneeshen_US
dc.contributor.authorCohen, Michaelen_US
dc.contributor.authorCurless, Brianen_US
dc.contributor.authorKang, Sing Bingen_US
dc.contributor.editorJan Kautz and Sumanta Pattanaiken_US
dc.date.accessioned2014-01-27T15:09:45Z
dc.date.available2014-01-27T15:09:45Z
dc.date.issued2007en_US
dc.description.abstractWe present a framework for automatically enhancing videos of a static scene using a few photographs of the same scene. For example, our system can transfer photographic qualities such as high resolution, high dynamic range and better lighting from the photographs to the video. Additionally, the user can quickly modify the video by editing only a few still images of the scene. Finally, our system allows a user to remove unwanted objects and camera shake from the video. These capabilities are enabled by two technical contributions presented in this paper. First, we make several improvements to a state-of-the-art multiview stereo algorithm in order to compute view-dependent depths using video, photographs, and structure-from-motion data. Second, we present a novel image-based rendering algorithm that can re-render the input video using the appearance of the photographs while preserving certain temporal dynamics such as specularities and dynamic scene lighting.en_US
dc.description.seriesinformationRendering Techniquesen_US
dc.identifier.isbn978-3-905673-52-4en_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttps://doi.org/10.2312/EGWR/EGSR07/327-338en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.3 [Image Processing and Computer Vision]: Enhancement Registration I.4.8 [Image Processing and Computer Vision]: Scene Analysis Stereo, Time-varying imageryen_US
dc.titleUsing Photographs to Enhance Videos of a Static Sceneen_US
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