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선경희(Sun Kyung-Hee) 한국만화애니메이션학회 2002 만화애니메이션연구 Vol.- No.6
Animation has been developed as a part of artistry, and maintained a correlation with other various genres such as art, film and music to bring changes in form and to seek new things. Recently, technological advancement also has supported digitalization of producing process with variety in its method. Basic unit of animation production is a frame. A set of frames which has an image of producer's intention comes to life as animation when constructed, connected and transformed. A producer usually goes through a series of trouble when deciding how to express one's intention in images. Framing in animation is a kind of visual information which reflects producer's visual perception. A producer does not simply characterize matters into geometrical figures or give circumstantial explanation, but does framing work that relies on expression. Artistic psychology based on Gestalt Theory does not concentrate on abstract artistic philosophy with conventional beauty as its center, but pursues ambiguity and coherence of formative arts to support on accepting systematic order. Therefore, the purpose of this study is to find theoretical assistance which may be fundamental part in framing of animation. First, ten elements of Rudolf Arnheim centering on Gestalt Theory shall be redefined as concepts. Based on its ground, I will attempt to analyze shape-quality of framing of conventional animation, and make an approach with my personal experimental project. From this research project, I intend to analogize systematic aspect of framing in animation and to make framing of animation possible to assist in actual production of animation.
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고숙련자 공장작업지식 자산화를 위한 CCTV-동영상 객체능동 화의 개념적 아키텍처와 실험적 검증
조은비 ( Eun-bi Cho ),팜딘람 ( Dinh-lam Pham ),선경희 ( Kyung-hee Sun ),김광훈 ( Kwanghoon Pio Kim ) 한국인터넷정보학회 2024 인터넷정보학회논문지 Vol.25 No.2
본 논문에서는 스마트공장의 대표적인 비정형데이터인 CCTV-동영상의 물리적 구성요소인 비디오-프레임을 묘사할 수 있는 기본요소인 객체(Objects), 행위(Motions), 물리적환경(Physical Environment) 특성들을 중에서 인공지능-딥러닝 모델들을 적용하여 탐지할 수 있는 영상-객체를 텍스트데이터유형의 XML-능동데이터로 수집·저장·관리할 수 있는 소위 CCTV-동영상 객체능동화(Object Activitization) 1) 개념을 실현할 수 있는 개념적 아키텍처와 그의 구현을 위한 접근방법을 제안한다. 결과적으로, 본 논문에서 제안한 접근방법의 궁극적 목표는 다양한 산업의 작업 및 공정현장에서 수집되는 정형·비정형 데이터로부터 고숙련 작업자 중심의 현장지식을 체계적으로 수집·저장·관리하는 고숙련작업자 중심 현장작업지식 자산화를 위한 스마트공장 현장지식 공유 플랫폼을 구현하는데 있다. In this paper, we propose a concpetual architecture and its implementation approach for contextualizing unstructured CCTV-video frame data into structured XML-video textual data by using the deep-learning neural network models and frameworks. Conclusively, through the conceptual architecture and the implementation approach proposed in this paper, we can eventually realize and implement the so-called sharable working and experiencing knowledge management platforms to be adopted to smart factories in various industries.
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