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VideoMap: Video Editing in Latent Space
David Chuan-En Lin · Fabian Caba · Joon-Young Lee · Oliver Wang · Nikolas Martelaro

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in Workshop on Machine Learning for Creativity and Design »

Video has become a dominant form of media. However, video editing interfaces have remained largely unchanged over the past two decades. Such interfaces typically consist of a grid-like asset management panel and a linear editing timeline. When working with a large number of video clips, it can be difficult to sort through them all and identify patterns within (e.g. opportunities for smooth transitions and storytelling). In this work, we imagine a new paradigm for video editing by mapping videos into a 2D latent space and building a proof-of-concept interface.

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Author Information

David Chuan-En Lin (Carnegie Mellon University)

David's research focus is in Designer-AI Interaction. He supports designers by (1) building novel ML-infused design tools and (2) investigating how such tools augment design processes.

Fabian Caba (Adobe Research)
Joon-Young Lee (Adobe Research)
Oliver Wang (Adobe Research)
Nikolas Martelaro (Carnegie Mellon University)

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