VidTune: Creating Video Soundtracks with Generative Music and Contextual Thumbnails

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Authors: Mina Huh, C. Ailie Fraser, Dingzeyu Li, Mira Dontcheva, Bryan K. Wang
Cited by: 1
References: 61

Abstract

Music shapes the tone of videos, yet creators find it hard to find soundtracks that match their video’s mood and narrative. Recent text-to-music models let creators generate music from text prompts, but our formative study (N=8) shows creators struggle to construct diverse prompts, quickly review and compare tracks, and understand their impact on the video. We present VidTune, a system that supports soundtrack creation by generating diverse music options from a creator’s prompt and producing contextual thumbnails for rapid review. VidTune extracts representative video subjects to ground thumbnails in context, maps each track’s valence and energy onto visual cues like color and brightness, and depicts prominent genres and instruments. Creators can refine tracks with natural language edits, which VidTune expands into new generations. In a controlled user study (N=12) and an exploratory case study (N=6), participants found VidTune helpful for efficiently reviewing and comparing music options and described the process as playful and enriching.

Fields of Study & Subjects

Innovative Human-Technology Interaction Music Technology and Sound Studies Artificial Intelligence in Games

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–25
Publication date
13 April 2026