Publications

B-Script: Transcript-based B-roll Video Editing with Recommendations

ACM Conference on Human Factors in Computing Systems (CHI)

Published May 4, 2019

Bernd Huber, Hijung Valentina Shin, Bryan Russell, Oliver Wang, Gautham Mysore

In video production, inserting B-roll is a widely used technique to enrich the story and make a video more engaging. However, determining the right content and positions of B-roll and actually inserting it within the main footage can be challenging, and novice producers often struggle to get both timing and content right. We present B-Script, a system that supports B-roll video editing via interactive transcripts. B-Script has a built-in recommendation system trained on expert-annotated data, recommending users B-roll position and content. To evaluate the system, we conducted a within-subject user study with 110 participants, and compared three interface variations: a timeline-based editor, a transcript-based editor, and a transcript-based editor with recommendations. Users found it easier and were faster to insert B-roll using the transcript-based interface, and they created more engaging videos when recommendations were provided.

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