Hidden Networks is a large-scale eight-channel video installation that applies machine learning techniques to the analysis of the moving image. A system of deep neural networks analyzes the optical flow in a film dataset and identifies scenes with similar motions, those in which the figures move in the same direction, with the same speed, or with the same rhythm.

More information in the project website.

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