Çok ki̇pli̇ dans koreografi̇modeli̇

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

doi:10.1109/SIU.2011.5929607

Çok ki̇pli̇ dans koreografi̇modeli̇

Translated title of the contribution: Multimodal dance choreography model

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

^*Corresponding author for this work

Koc University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Translated title of the contribution	Multimodal dance choreography model
Original language	Turkish
Title of host publication	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Pages	126-129
Number of pages	4
DOIs	https://doi.org/10.1109/SIU.2011.5929607
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 - Antalya, Turkey Duration: 20 Apr 2011 → 22 Apr 2011

Publication series

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

Conference

Conference	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Country/Territory	Turkey
City	Antalya
Period	20/04/11 → 22/04/11

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10.1109/SIU.2011.5929607

Cite this

@inproceedings{b6a40cf5f5ae43c7bc42fb5d6c17fe16,

title = "{\c C}ok k{\.i}pl{\.i} dans koreograf{\.i}model{\.i}",

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.",

author = "F. Ofli and E. Erzin and Y. Yemez and Tekalp, {A. M.}",

year = "2011",

doi = "10.1109/SIU.2011.5929607",

language = "Turkish",

isbn = "9781457704635",

series = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",

pages = "126--129",

booktitle = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",

note = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 ; Conference date: 20-04-2011 Through 22-04-2011",

}

Ofli, F, Erzin, E, Yemez, Y & Tekalp, AM 2011, Çok ki̇pli̇ dans koreografi̇modeli̇. in 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011., 5929607, 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, pp. 126-129, 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Turkey, 20/04/11. https://doi.org/10.1109/SIU.2011.5929607

Çok ki̇pli̇ dans koreografi̇modeli̇. / Ofli, F.; Erzin, E.; Yemez, Y. et al.
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011. 2011. p. 126-129 5929607 (2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2011

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AB - 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.

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DO - 10.1109/SIU.2011.5929607

M3 - Conference contribution

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T3 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

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

T2 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Y2 - 20 April 2011 through 22 April 2011

ER -

Çok ki̇pli̇ dans koreografi̇modeli̇

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