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Scalable Music: Automatic Music Retargeting and Synthesis
Author(s) -
Wenner Simon,
Bazin JeanCharles,
SorkineHornung Alexander,
Kim Changil,
Gross Markus
Publication year - 2013
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12054
Subject(s) - retargeting , computer science , animation , computer graphics (images) , segmentation , computer vision , carving , artificial intelligence , scalability , seam carving , graphics , image (mathematics) , database , engineering , mechanical engineering
In this paper we propose a method for dynamic rescaling of music, inspired by recent works on image retargeting, video reshuffling and character animation in the computer graphics community. Given the desired target length of a piece of music and optional additional constraints such as position and importance of certain parts, we build on concepts from seam carving, video textures and motion graphs and extend them to allow for a global optimization of jumps in an audio signal. Based on an automatic feature extraction and spectral clustering for segmentation, we employ length‐constrained least‐costly path search via dynamic programming to synthesize a novel piece of music that best fulfills all desired constraints, with imperceptible transitions between reshuffled parts. We show various applications of music retargeting such as part removal, decreasing or increasing music duration, and in particular consistent joint video and audio editing.