Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
34th (2020)
Session ID : 4I3-GS-2-04
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Identification Method of Dance Movie Genres using OpenPose and Autoencoder
*Ryuku NOBUSUEMasanori AKIYOSHIJun ICHIKAWA
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Abstract

Since "Dance" becomes compulsory subjects, teachers who are not trained before and have anxiety on instruction are apt to join lesson classes or training seminar, which leads to take time and money. To overcome this situation, there exists strong needs to learn knowledge and skill as to "Dance" for themselves through watching free-of-charge internet dance movies. First of all it is necessary to discriminate dance genres for the sake of watching such movies from explicit move- conscious viewpoints. This paper addresses an identification method of dance movie genres using OpenPose and Autoencoder.

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© 2020 The Japanese Society for Artificial Intelligence
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