Abstract
Rhuthmus (2024) is a computational art project that uses machine learning to compare and contrast moving image sequences with respect to their visual rhythms.
Although essential to cinematic art, visual rhythm is difficult to define and characterize. The temporal fluidity of images resists linguistic categorization. The question arises as to whether machine learning can potentially capture or articulate certain aspects of cinematic experience which would otherwise remain elusive.
The main element in the Ruthmus project is a neural network trained to represent certain aspects of cinematic rhythms. This representation can be visualized by selecting pairs of short sequences that, according to the system, exhibit similar rhythms.
Although essential to cinematic art, visual rhythm is difficult to define and characterize. The temporal fluidity of images resists linguistic categorization. The question arises as to whether machine learning can potentially capture or articulate certain aspects of cinematic experience which would otherwise remain elusive.
The main element in the Ruthmus project is a neural network trained to represent certain aspects of cinematic rhythms. This representation can be visualized by selecting pairs of short sequences that, according to the system, exhibit similar rhythms.
| Original language | English |
|---|---|
| Publication status | Published - 17 Jun 2024 |
| Event | 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) - Seattle Convention Center, Seattle, United States Duration: 17 Jun 2024 → 21 Jun 2024 https://cvpr.thecvf.com/Conferences/2024 https://ieeexplore.ieee.org/xpl/conhome/1000147/all-proceedings https://cvpr.thecvf.com/virtual/2024/index.html |
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