Interaction art using Video Synthesis Technology
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김성수 | - |
dc.contributor.author | 엄현영 | - |
dc.contributor.author | 임찬 | - |
dc.date.available | 2019-07-12T07:20:30Z | - |
dc.date.created | 2019-07-12 | - |
dc.date.issued | 2019-06 | - |
dc.identifier.issn | 2288-7202 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/34940 | - |
dc.description.abstract | Media art, which is a combination of media technology and art, is making a lot of progress in combination with AI, IoT and VR. This paper aims to meet people's needs by creating a video that simulates the dance moves of an object that users admire by using media art that features interactive interactions between users and works. The project proposed a universal image synthesis system that minimizes equipment constraints by utilizing a deep running-based Skeleton estimation system and one of the deep-running neural network structures, rather than a Kinect-based Skeleton image. The results of the experiment showed that the images implemented through the deep learning system were successful in generating the same results as the user did when they actually danced through inference and synthesis of motion that they did not actually behave. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 국제문화기술진흥원 | - |
dc.relation.isPartOf | The International Journal of Advanced Culture Technology | - |
dc.title | Interaction art using Video Synthesis Technology | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | The International Journal of Advanced Culture Technology, v.7, no.2, pp.195 - 200 | - |
dc.identifier.kciid | ART002481002 | - |
dc.description.journalClass | 2 | - |
dc.citation.endPage | 200 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 195 | - |
dc.citation.title | The International Journal of Advanced Culture Technology | - |
dc.citation.volume | 7 | - |
dc.contributor.affiliatedAuthor | 임찬 | - |
dc.identifier.url | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002481002 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | Interactive Art | - |
dc.subject.keywordAuthor | Deep Learning | - |
dc.subject.keywordAuthor | GAN | - |
dc.subject.keywordAuthor | VVVV | - |
dc.description.journalRegisteredClass | kci | - |
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