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Authors: Marcelo Cicconet and Paulo Cezar Carvalho

Affiliation: IMPA, Brazil

ISBN: 978-989-674-027-6

Keyword(s): Musical information visualization, Chroma vector, Loudness, Self-similarity matrix, Novelty score.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Presentation Methods ; Visual Representation and Interaction

Abstract: Most audio and video editors employ a representation of music pieces based on the Pulse Code Modulation waveform, from which not much information, besides the energy envelope, can be visually captured. In the present work we discuss the importance of presenting to the user some hints about the melodic content of the audio to improve the visual segmentation of a music piece, thereby speeding up editing tasks. Such a representation, although powerful in the mentioned sense, is of simple computation, a desirable property because loading an audio or video should be done very fast in an interactive environment.

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Paper citation in several formats:
Cicconet M.; Cezar Carvalho P. and (2010). THE SONG PICTURE - On Musical Information Visualization for Audio and Video Editing.In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010) ISBN 978-989-674-027-6, pages 85-90. DOI: 10.5220/0002825000850090

@conference{ivapp10,
author={Marcelo Cicconet and Paulo {Cezar Carvalho}},
title={THE SONG PICTURE - On Musical Information Visualization for Audio and Video Editing},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010)},
year={2010},
pages={85-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002825000850090},
isbn={978-989-674-027-6},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010)
TI - THE SONG PICTURE - On Musical Information Visualization for Audio and Video Editing
SN - 978-989-674-027-6
AU - Cicconet, M.
AU - Cezar Carvalho, P.
PY - 2010
SP - 85
EP - 90
DO - 10.5220/0002825000850090

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