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

Jong Chul Yoon; In Kwon Lee; Siwoo Byun

doi:10.1007/s11042-008-0225-0

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

Jong Chul Yoon, In Kwon Lee, Siwoo Byun

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

21 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 language	English
Pages (from-to)	197-214
Number of pages	18
Journal	Multimedia Tools and Applications
Volume	41
Issue number	2
DOIs	https://doi.org/10.1007/s11042-008-0225-0
Publication status	Published - 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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10.1007/s11042-008-0225-0

Cite this

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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