Automated music video generation using multi-level feature-based segmentation

Jong Chul Yoon, In Kwon Lee, Siwoo Byun

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


We show how to create a music video automatically, using computable characteristics of the video and music to promote coherent matching. We analyze the flow of both music and video, and then segment them into sequences of near-uniform flow. We extract features from the both video and music segments, and then find matching pairs. The granularity of the matching process can be adapted by extending the segmentation process to several levels. Our approach drastically reduces the skill required to make simple music videos.

Original languageEnglish
Pages (from-to)197-214
Number of pages18
JournalMultimedia Tools and Applications
Issue number2
Publication statusPublished - 2009 Jan

Bibliographical note

Funding Information:
Acknowledgements This research is accomplished as the result of the promotion project for culture contents technology research center supported by Korea Culture & Content Agency (KOCCA).

All Science Journal Classification (ASJC) codes

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


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