Çok ki̇pli̇ dans koreografi̇modeli̇

Translated title of the contribution: Multimodal dance choreography model

F. Ofli, E. Erzin, Y. Yemez, A. M. Tekalp

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We target to learn correlation models between music and dance performances to synthesize music driven dance choreographies. The proposed framework learns statistical mappings from musical measures to dance figures using musical measure models, exchangeable figures model, choreography model and dance figure models. Alternative dance choreographies are synthesized based on these statistical mappings. Objective and subjective evaluation results demonstrate that the proposed framework successfully synthesize music-driven choreographies.

Original languageTurkish
Title of host publication2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Pages126-129
Number of pages4
DOIs
Publication statusPublished - 21 Jul 2011
Event2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 - Antalya, Turkey
Duration: 20 Apr 201122 Apr 2011

Publication series

Name2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Conference

Conference
CountryTurkey
CityAntalya
Period20/4/1122/4/11

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Ofli, F., Erzin, E., Yemez, Y., & Tekalp, A. M. (2011). Çok ki̇pli̇ dans koreografi̇modeli̇. In 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 (pp. 126-129). [5929607] (2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011). https://doi.org/10.1109/SIU.2011.5929607