VideoMap: Video Editing in Latent Space
1Carnegie Mellon University, 2Adobe Research
Abstract
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.
Example Application - Match Cut
Shape Lens
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Color Lens
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Semantic Lens
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Example Application - Summary Video
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Example Application - Semantic Search
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