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Grant number like: HD-51394-11

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Award Number Grant ProgramAward RecipientProject TitleAward PeriodApproved Award Total
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HD-51394-11Digital Humanities: Digital Humanities Start-Up GrantsTrustees of Dartmouth CollegeACTION (Audio-visual Cinematic Toolbox for Interaction, Organization, and Navigation): an open-source Python platform9/1/2011 - 12/31/2013$50,000.00MichaelA.CaseyMarkJ.WilliamsTrustees of Dartmouth CollegeHanoverNH03755-1808USA2011Film History and CriticismDigital Humanities Start-Up GrantsDigital Humanities500000500000

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.

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.