Calibration에 따른 비디오 아트의 Digital Converting 연구 - 백남준 작품을 중심으로 - = A study for Digital Converting of Video art based on Calibration - Focusing on the Work of Nam June Paik -

다국어 초록 (Multilingual Abstract)

Contemporary art is needed new preservation methodology beyond the traditional preservation concepts. Especially, the preservation of media art has been argued away internationally by many experts in this area. This study is aimed to compare and analysis between the outputs of image replaced LCD manner and the output from the traditional CRT manner and to convert the color that the audience familiar with. It is because the image that is part of a video artwork to preserve and maintain. For the purpose of the study, the theoretical background included the major concept of video art and the characteristic of video art through classification of media. Also this part detailed the study needs and value as describing the concept of revision and the reproduction technic of original color that effect of human being. In the experiment, it introduced the whole method including the image and equipment, process of the experiment through the flow chart. The images used in the experiment was the Good Morning Mr. Orwell by the pioneering Korean-born video artist Paik Nam June and analyzed it. First, to compare the visual color between CRT and LCD manner, the image was outputted to the monitor and taken with a camera. The captured images in each monitor transferred to PC and the image motivated with Photoshop. The image processed on the mosaic using a processing program and extracted the data R·G·B. The extracted data R·G·B’s mean and deviation were calculated and probability value adaptation was determined after. Also this study tried to reach out the color using CRT manner through applying the probability value adaptation until the deviation was minimized between the value of the image data R·G·B output from the CRT manner and the value of the image data R·G·B output from the LCD manner. According to the result of the experiment, it reached out to the images output from the CRT type monitor and it determined the probability value adaptation needed to apply differently to each scene images by composing the image data R·G·B. Because all deviation and probability value adaptation were different by each image. Through the analysis, exacted the value of data R·G·B was not applied to LCD monitor so that the probability value adaptation will be different even though the method of analysis will be same.