Publication:
Multi-modal analysis of dance performances for music-driven choreography synthesis

dc.contributor.coauthorN/A
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorErzin, Engin
dc.contributor.kuauthorOfli, Ferda
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.kuauthorYemez, Yücel
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T22:52:17Z
dc.date.issued2010
dc.description.abstractWe propose a framework for modeling, analysis, annotation and synthesis of multi-modal dance performances. We analyze correlations between music features and dance figure labels on training dance videos in order to construct a mapping from music measures (segments) to dance figures towards generating music-driven dance choreographies. We assume that dance figure segment boundaries coincide with music measures (audio boundaries). For each training video, figure segments are manually labeled by an expert to indicate the type of dance motion. Chroma features of each measure are used for music analysis. We model temporal statistics of such chroma features corresponding to each dance figure label to identify different rhythmic patterns for that dance motion. The correlations between dance figures and music measures, as well as, correlations between consecutive dance figures are used to construct a mapping for music-driven dance choreography synthesis. Experimental results demonstrate the success of proposed music-driven choreography synthesis framework.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1109/ICASSP.2010.5494891
dc.identifier.isbn978-1-4244-4296-6
dc.identifier.issn1520-6149
dc.identifier.scopus2-s2.0-78049410117
dc.identifier.urihttps://doi.org/10.1109/ICASSP.2010.5494891
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6981
dc.identifier.wos287096002104
dc.keywordsMultimodal dance modeling
dc.keywordsMusic-driven dance
dc.keywordsChoreography synthesis
dc.keywordsBeat tracking
dc.keywordsAudio
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
dc.subjectAcoustics
dc.subjectComputer science
dc.subjectEngineering
dc.subjectElectrical and electronic engineering
dc.titleMulti-modal analysis of dance performances for music-driven choreography synthesis
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorOfli, Ferda
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorYemez, Yücel
local.contributor.kuauthorTekalp, Ahmet Murat
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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