Cultural Analysis of Moving Images
The Distant TV Toolkit is a Python package designed to facilitate the computational analysis of visual culture. It contains low-level architecture for applying state-of-the-art computer vision algorithms to still and moving images. The higher-level functionality of the toolkit allows users to quickly extract semantic metadata from digitized collections. Extracted information can be visualized for search and discovery or aggregated and analyzed to find patterns across a corpus.
More information about the toolkit and project is available on the following pages:
- Search and discovery interface example: https://www.distantviewing.org/labs/
- Example analysis using aggregated metadata: https://doi.org/10.22148/16.043
- Theory of the project: https://www.distantviewing.org/pdf/distant-viewing.pdf
- Project homepage: https://distantviewing.org
- Software Whitepaper: https://github.com/distant-viewing/dvt/blob/master/paper/paper.pdf
- Documentation: https://distant-viewing.github.io/dvt/
- Source code: https://github.com/distant-viewing/dvt
The Distant Viewing Toolkit is supported by the National Endowment for the Humanities through a Digital Humanities Advancement Grant. It is released under the open-source GNU General Public License (GPLv2+).
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