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    VIAN: A Visual Annotation Tool for Film Analysis

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    Date
    2019
    Author
    Halter, Gaudenz
    Ballester-Ripoll, Rafael ORCID
    Flueckiger, Barbara
    Pajarola, Renato ORCID
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    Abstract
    While color plays a fundamental role in film design and production, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a visual film annotation system centered on the semantic aspects of film color analysis. The tool enables expert-assessed labeling, curation, visualization and classification of color features based on their perceived context and aesthetic quality. It is the first of its kind that incorporates foreground-background information made possible by modern deep learning segmentation methods. The proposed tool seamlessly integrates a multimedia data management system, so that films can undergo a full color-oriented analysis pipeline.
    BibTeX
    @article {10.1111:cgf.13676,
    journal = {Computer Graphics Forum},
    title = {{VIAN: A Visual Annotation Tool for Film Analysis}},
    author = {Halter, Gaudenz and Ballester-Ripoll, Rafael and Flueckiger, Barbara and Pajarola, Renato},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13676}
    }
    URI
    https://doi.org/10.1111/cgf.13676
    https://diglib.eg.org:443/handle/10.1111/cgf13676
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    • 38-Issue 3

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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA