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    • 36-Issue 2
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    Zooming on all Actors: Automatic Focus+Context Split Screen Video Generation

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    Date
    2017
    Author
    Kumar, Moneish
    Gandhi, Vineet
    Ronfard, Rémi
    Gleicher, Michael ORCID
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    Abstract
    Recordings of stage performances are easy to capture with a high-resolution camera, but are difficult to watch because the actors' faces are too small. We present an approach to automatically create a split screen video that transforms these recordings to show both the context of the scene as well as close-up details of the actors. Given a static recording of a stage performance and tracking information about the actors positions, our system generates videos showing a focus+context view based on computed close-up camera motions using crop-and zoom. The key to our approach is to compute these camera motions such that they are cinematically valid close-ups and to ensure that the set of views of the different actors are properly coordinated and presented. We pose the computation of camera motions as convex optimization that creates detailed views and smooth movements, subject to cinematic constraints such as not cutting faces with the edge of the frame. Additional constraints link the close up views of each actor, causing them to merge seamlessly when actors are close. Generated views are placed in a resulting layout that preserves the spatial relationships between actors. We demonstrate our results on a variety of staged theater and dance performances.
    BibTeX
    @article {10.1111:cgf.13140,
    journal = {Computer Graphics Forum},
    title = {{Zooming on all Actors: Automatic Focus+Context Split Screen Video Generation}},
    author = {Kumar, Moneish and Gandhi, Vineet and Ronfard, Rémi and Gleicher, Michael},
    year = {2017},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13140}
    }
    URI
    http://dx.doi.org/10.1111/cgf.13140
    https://diglib.eg.org:443/handle/10.1111/cgf13140
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    Eurographics Association copyright © 2013 - 2023 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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