VideoDiff: Human-AI Video Co-Creation with Alternatives
Mina Huh, Dingzeyu Li, Kim Pimmel, Hijung Valentina Shin, Amy Pavel,, Mira Dontcheva

TL;DR
VideoDiff is an AI-powered video editing tool that helps creators generate, compare, and refine multiple editing alternatives efficiently, simplifying the decision-making process in video production.
Contribution
It introduces a novel AI tool that enables easy comparison and customization of multiple video editing suggestions, enhancing user control and satisfaction.
Findings
Participants easily compared and customized alternatives
VideoDiff improved editing efficiency and satisfaction
The tool effectively highlights differences between video options
Abstract
To make an engaging video, people sequence interesting moments and add visuals such as B-rolls or text. While video editing requires time and effort, AI has recently shown strong potential to make editing easier through suggestions and automation. A key strength of generative models is their ability to quickly generate multiple variations, but when provided with many alternatives, creators struggle to compare them to find the best fit. We propose VideoDiff, an AI video editing tool designed for editing with alternatives. With VideoDiff, creators can generate and review multiple AI recommendations for each editing process: creating a rough cut, inserting B-rolls, and adding text effects. VideoDiff simplifies comparisons by aligning videos and highlighting differences through timelines, transcripts, and video previews. Creators have the flexibility to regenerate and refine AI suggestions…
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