Visual music and musical vision

Li, X; Tao, D; Maybank, SJ; Yuan, Y

Visual music and musical vision

Li, X Tao, D

Maybank, SJ Yuan, Y

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Publication Type:: Journal Article
Citation:: Neurocomputing, 2008, 71 (10-12), pp. 2023 - 2028
Issue Date:: 2008-06-01

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Field	Value	Language
dc.contributor.author	Li, X	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Maybank, SJ	en_US
dc.contributor.author	Yuan, Y	en_US
dc.date.issued	2008-06-01	en_US
dc.identifier.citation	Neurocomputing, 2008, 71 (10-12), pp. 2023 - 2028	en_US
dc.identifier.issn	0925-2312	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15061
dc.description.abstract	This paper aims to bridge human hearing and vision from the viewpoint of database search for images or music. The semantic content of an image can be illustrated with music or conversely images can be associated with a piece of music. The theoretical basis of the bridge is synaesthesia, a property of human perception. A prototype cross-media retrieval system is built, using principles established in the neuroscientific study of synaesthesia. © 2008 Elsevier B.V. All rights reserved.	en_US
dc.relation.ispartof	Neurocomputing	en_US
dc.relation.isbasedon	10.1016/j.neucom.2008.01.025	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Visual music and musical vision	en_US
dc.type	Journal Article
utslib.citation.volume	10-12	en_US
utslib.citation.volume	71	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	10-12	en_US
pubs.publication-status	Published	en_US
pubs.volume	71	en_US

Abstract:

This paper aims to bridge human hearing and vision from the viewpoint of database search for images or music. The semantic content of an image can be illustrated with music or conversely images can be associated with a piece of music. The theoretical basis of the bridge is synaesthesia, a property of human perception. A prototype cross-media retrieval system is built, using principles established in the neuroscientific study of synaesthesia. © 2008 Elsevier B.V. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/15061