Red light spotters

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Red light spotters: images-driven sound and rhythm landscape

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International Multimedia Conference archive
Proceeding of the 1st ACM international workshop on Semantic ambient media experiences table of contents

Vancouver, British Columbia, Canada

SESSION: Ambient media applications table of contents

Pages 67-74

Year of Publication: 2008

ISBN:978-1-60558-314-3

Authors

Philippe Codognet	Keio University, DMC, Tokyo, Japan
Gilbert Nouno	University of Paris 6, LIP6 - IRCAM, Paris, France

Sponsors

ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ACM New York, NY, USA

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ABSTRACT

Red Light Spotters is a multi-contextual interactive project which aims to create an open and real-time musical environment sharing relations with and extending a natural ambient landscape. It encompass artistic creation process embedding image tracking, artificial intelligence with inductive original tempo tracking and beat prediction algorithms. We end up with emergent rhythmic processing for ambiant musical creation, interpreted and performed by sound artists.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	S. Arom. Polyphonies et polyrythmies instrumentales d'afrique centrale, structure et méthodologies. Selaf, 1985.
	2	P. Boulez. Penser la musique aujourd'hui. Gonthier médiations, 1963.
	3	N. Bourriaud. Relational Aesthetics. Les Presse Du Reel, Paris, France, 1998.
	4	N. Collins. Beat Induction and Rhythm Analysis for Live Audio Processing. 2004.
	5	E. Couchot. La technologie dans l'art: de la photographie a la realite virtuelle. Jacqueline Chambon, Paris, France, 1998.
	6	D. Huron. Sweet Anticipation: Music and the Psychology of Expectation. in press, 2006.
	7	Anssi Klapuri , Manuel Davy, Signal Processing Methods for Music Transcription, Springer-Verlag New York, Inc., Secaucus, NJ, 2006
	8	T. H. A. Kristoffer Jensen. Real-time beat estimation using feature extraction. In Computer Music Modeling and Retrieval, volume 2771/2004, pages 13--22. Springer Berlin / Heidelberg, 2004.
	9	C. Paul. Digital Art. Thames and Hudson, London, U.K., 2003.
	10	Jean-Marc Pelletier, A shape-based approach to computer vision musical performance systems, Proceedings of the 2004 conference on New interfaces for musical expression, p.197-198, June 03-05, 2004, Hamamatsu, Shizuoka, Japan
	11	F. Popper. from Technological to Virtual Art. MIT Press, Cambridge, USA, 2007.
	12	L. Rabiner. A tutorial on hidden markov models and selected applications in speech. Proceeding of the IEEE, 77:257--286, 1989.
	13	J. Seibt. Free process theory: Towards a typology of occurrings. Axiomathes, 14:23--55, 2004.
	14	J. Seppanen. Tatum grid analysis of musical signals. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2001.
	15	B. Simeone. Optimal grid search. private communications, 2006.
	16	S.-W. L. Tae-Yong Kim, Jihun Park. Object boundary edge selection for accurate contour tracking using multi-level canny edges. In Image Analysis and Recognition, volume 3212/2004 of Lecture Notes in Computer Science, pages 536--543. Springer Berlin / Heidelberg, 2004.