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

Jong Chul Yoon, In Kwon Lee, Siwoo Byun

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

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
Volume41
Issue number2
DOIs
Publication statusPublished - 2009 Jan 1

All Science Journal Classification (ASJC) codes

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

Cite this

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Automated music video generation using multi-level feature-based segmentation. / Yoon, Jong Chul; Lee, In Kwon; Byun, Siwoo.

In: Multimedia Tools and Applications, Vol. 41, No. 2, 01.01.2009, p. 197-214.

Research output: Contribution to journalArticle

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