Automated Conversion of Music Videos into Lyric Videos
August 28, 2023 Β· Declared Dead Β· π ACM Symposium on User Interface Software and Technology
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Authors
Jiaju Ma, Anyi Rao, Li-Yi Wei, Rubaiat Habib Kazi, Hijung Valentina Shin, Maneesh Agrawala
arXiv ID
2308.14922
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CV,
cs.GR
Citations
5
Venue
ACM Symposium on User Interface Software and Technology
Last Checked
4 months ago
Abstract
Musicians and fans often produce lyric videos, a form of music videos that showcase the song's lyrics, for their favorite songs. However, making such videos can be challenging and time-consuming as the lyrics need to be added in synchrony and visual harmony with the video. Informed by prior work and close examination of existing lyric videos, we propose a set of design guidelines to help creators make such videos. Our guidelines ensure the readability of the lyric text while maintaining a unified focus of attention. We instantiate these guidelines in a fully automated pipeline that converts an input music video into a lyric video. We demonstrate the robustness of our pipeline by generating lyric videos from a diverse range of input sources. A user study shows that lyric videos generated by our pipeline are effective in maintaining text readability and unifying the focus of attention.
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