Automated Conversion of Music Videos into Lyric Videos

August 28, 2023 Β· Declared Dead Β· πŸ› 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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