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영상 변환에 따른 개인 감성의 반응 분석

The Analysis of Personalized Emotion Response according to Image

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초록

Emotional ICT is the information and communication technologies using the emotion that users feel whenusing or not using different devices and services. As made evident in the current ICT industry’s tendency towardmass customization, consumers now want a product that perceives their emotions beforehand and fuses theiremotions into the devices and services. In this paper, we suggest the monitering system of personalized emotion response according to imageprocessing algorithms such as filtering(sharpening, blurring), shape transfer(warping) and stroke basedrendering. To normalize personalized emotion by images, we used normal, pleasant, unpleasant, active and quietimage providing international affective picture system. We compare personalized emotional variation betweenoriginal image and transferred image. This study can be used creating digital multimedia contents bypersonalized emotion and affective games according to user's emotion

Abstract

Emotional ICT is the information and communication technologies using the emotion that users feel whenusing or not using different devices and services. As made evident in the current ICT industry’s tendency towardmass customization, consumers now want a product that perceives their emotions beforehand and fuses theiremotions into the devices and services. In this paper, we suggest the monitering system of personalized emotion response according to imageprocessing algorithms such as filtering(sharpening, blurring), shape transfer(warping) and stroke basedrendering. To normalize personalized emotion by images, we used normal, pleasant, unpleasant, active and quietimage providing international affective picture system. We compare personalized emotional variation betweenoriginal image and transferred image. This study can be used creating digital multimedia contents bypersonalized emotion and affective games according to user's emotion

참고문헌 (10)

  1. 강선아, "감성ICT산업의 경제적 파급효과 분석: 산업연관분석을 중심으로", 산업경제연구, 26(4), pp.1739~1764 (2013), 한국산업경제학회
  2. The Study on Establishing Application System for All Ministries on the National S&T Standard Classification System, "Ministry of Education, Science and Technology", 473~ (2009)
  3. Robert Plutchik, "Emotion : A Psychoevolutionary Synthesis" (1980), Harper & Row
  4. James A. Russel, "A Circumplex Model of Affect", journal of Personality and Social Psychology, 39(6), pp.1161~1178 (1980)
  5. Kyeong A Kwon, "Sound Feature-Driven Painterly Rendering,", International Journal of Multimedia and Ubiquitous Engineering, 8(1) (2013)
  6. David Mould, "Emotional Response and Visual Attention to Non-Photorealistic Image", Computer & Graphics, 36(6), pp.658~672 (2012)
  7. International Affective Picture System(IAPS) :Affective ratings of pictures and instruction manual, "Peter J. Lang", ~, pp.Technical Report A-8 (2008)
  8. 장재건, "맞춤형 콘텐츠 서비스를 위한 실시간 영상 감성 추출", 한국컴퓨터게임학회논문지, 24(2), pp.169~176 (2011), (사)한국컴퓨터게임학회
  9. 류승택, "원형지수 기반 형태 분석을 이용한 이미지 콘텐츠의 감성 분류 연구", 한국컴퓨터게임학회논문지, 24(3), pp.43~50 (2011), (사)한국컴퓨터게임학회
  10. 양희경, "게임의 몰입도 증가를 위해 감성 모델에 기반을 둔 시각적 콘텐츠의 감성 강화 기법", 한국컴퓨터게임학회논문지, 25(2), pp.171~176 (2012), (사)한국컴퓨터게임학회[DOI]

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