mlsanityData to 7 Oct 2026

Automated Conversion of Music Videos into Lyric Videos

arXiv 2308.14922 ↗First posted 28 Aug 2023cs.HC cs.CV cs.GRcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 7 of its 52 references that are in the map. First posted on arXiv 28 Aug 2023.

Builds on

7 of 52 references.

References · 7

  1. 2022XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Modelcited by 436
  2. 2021TOOD: Task-aligned One-stage Object Detectioncited by 218
  3. 2020A Local-to-Global Approach to Multi-modal Movie Scene Segmentationcited by 60
  4. 2022Robust Visual Tracking by Segmentationcited by 38
  5. 2018Unifying Identification and Context Learning for Person Recognitioncited by 10
  6. 2022A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!cited by 9
  7. 2014Speaker-following Video Subtitlescited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 1.

4 papers.