The ACTION Toolbox 2017-05-18T18:13:18+00:00

Project Description

ACTION (Audio-visual Cinematic Toolbox for Interaction, Organization, and Navigation), is an open source platform that supports the computational analysis of film and other audiovisual materials. Funded by a NEH Digital Humanities Start-up Grant, the ACTION toolkit includes features extraction, multi-feature pattern analysis. and machine learning tools. These tools include color features, motion features, structural segmentations, audio features, and analyses based on automatic labeling of the data via machine learning. ACTION provides a work bench to study such features in combination with machine learning methods to yield latent stylistic patterns distributed among films and directors. As such, ACTION is a platform that advances new research methods in the study of film and media history.

Project Principal Investigators: Michael Casey, Digital Music, Computer Science; Mark Williams, Film and Media Studies