• ACTION (Audio-visual Cinematic Toolbox for Interaction, Organization, and Navigation): an open-source Python platform

    Project Director(s):
    Michael A. Casey, Mark J. Williams
    Author(s):
    Michael A. Casey, Mark J. Williams
    Date:
    2013
    Group(s):
    Data Rescue
    Subject(s):
    Film history, Film criticism
    Item Type:
    White paper
    Institution:
    Dartmouth College
    Tag(s):
    NEH White papers, Digital Humanities Start-Up Grants, NEH Digital Humanities
    Permanent URL:
    http://dx.doi.org/10.17613/M6W94T
    Abstract:
    Audio-visual media have become ubiquitous due to the central position that computing has taken. Yet, methodologies and tools for supporting humanities research based on computational techniques, such as automatic shot-boundary detection, are nascent. ACTION seeks to provide free and open-source computational tools, and best-practice documentation, for new media-analytic methodologies based upon machine-vision and machine-hearing algorithms and software. We anticipate that automatic shot-boundary detection, scene-boundary detection, sound-track analysis, structure segmentation, and other methods, will lead to new insights into the development of film editing styles, scene composition, lighting, sound, and narrative construction. Building upon previous open-source frameworks, such as OMRAS2, AudioDB, Sphinx, Bregman, and OpenCV, ACTION will be a platform consisting of worked use-case examples in computational cinematics for future humanities researchers to extend.
    Notes:
    The development of a platform that would support the computational analysis of film and other audio-video materials. The platform would allow such features as the automatic detection of shots and scenes, the analysis of soundtracks, and overall content analysis.
    Metadata:
    Status:
    Published
    Last Updated:
    2 years ago
    License:
    Attribution-NonCommercial
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