| Example-Based Automatic Music-Driven Conventional Dance Motion Synthesis. | |
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MedLine Citation:
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PMID: 21519104 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We introduce a novel method for synthesizing dance motions that follow the emotions and contents of a piece of input music. Our method employs a learning based approach to model the music to motion mapping relationship embodied in example dance motions along with those motions’ accompanying background music. A key step in our method is to train a music-to-motion matching quality rating function through learning the music to motion mapping relationship exhibited in synchronized music and dance motion data, which were captured from professional human dance performance. |
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Authors:
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Rukun Fan; Songhua Xu; Weidong Geng |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-12 |
Journal Detail:
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Title: IEEE transactions on visualization and computer graphics Volume: - ISSN: 1077-2626 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-26 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9891704 Medline TA: IEEE Trans Vis Comput Graph Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Zhejiang University, Hangzhou. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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