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Moviegoer: Scene Boundary Partitioning

This is part of a series describing the development of Moviegoer, a multi-disciplinary data science project with the lofty goal of teaching machines how to “watch” movies and interpret emotion and antecedents (behavioral cause/effect).

Films are divided into individual scenes, a self-contained series of shots which may contain dialogue, visual action, and more. Being able to programmatically identify specific scenes is key to turning a film into structured data. We attempt to identify the start and end frames for individual scenes by using Keras’ VGG16 image model…




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Tim Lee

Tim Lee

Unlocking the emotional knowledge hidden within the world of cinema.

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