• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.13-13
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• 2004

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.11a
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• pp.168-171
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• 1998

멀티미디어 기술의 발달로 그래픽을 포함한 영상데이터의 사용이 급증하고 있다. 멀티미디어 및 가상현실 응용 시스템은 그래픽을 포함한 영상과 음향이 동기화 되어 제공될 경우 사용자의 현장감과 몰입감을 증대시킬 수 있다. 본 논문에서는 가정용 비디오를 통하여 입력되는 일련의 영상데이타로부터 관심있는 물체의 운동을 추적함으로 물체가 발생시키는 충돌음을 공간적으로 동기화 하여 생성하는 이미지 기반 영상/음향 동기화 기술의 개발에 관하여 논의한다. 대용량의 영상데이터에 대하여 실시간으로 음향을 동기화시키는 것은 현재 기술로 불가능하며, 본 논문에서는 영상과 음향의 공간적 동기화 기술에 대하여 기술한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.448-453
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• 1999

본 연구는 메이크업 제품에 있어서 한국인의 정서에 맞는 심리적 분석과 이를 통한 과학적인 색상개발을 하는데 그 목적이 있다. 본 연구에서는 심리적인 평가실험을 통해 이미지를 추출하여 브랜드가 추구하는 이미지를 설정한 후, 설정이미지에 부합된 메이크업 특성을 정량적으로 분석하였다. 분석방법에는 다변량 해석방법이 적용되었으며, 분석결과에 따라 설정 이미지별 색채영역을 제시하였다.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.1-10
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• 2009

The purpose of this study is to find out the relationship between the design factor and the sensitivity in web site. The classification of sensitivity-types consists of the research of books and the survey, and the language specialist's review and the analysis of factor. The research of the Image Scale accomplished through the analysis of the result of sensitivity-types. The major findings of the analysis are summarized as follows. The webpage sensitivity-types are classified into the 7 types, namely 'refreshment', 'calm', 'refinement', 'strongness', 'youth', 'uniqueness', 'futurity'. As a result of analyzing of similarity between the adjectives by multiple standards, the web site Image Scale space consists of the axis between 'heavy-light' and 'soft-hard'. As a result of the research of relationship between the web site design factor and the emotion, the color and the layout influenced into 'soft-hard' much, and the light and the color influenced into 'heavy-light' much.

• Science of Emotion and Sensibility
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• v.13 no.3
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• pp.493-500
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• 2010

The development of new technology and diversity in user needs lead mobile phone manufacturers to establish new strategies different from the existing for user attraction. Product identity, and brand image are major strategies for differentiation and adding new values to a product. This research starts with stating emotional brand image as the brand image made by the actual usage and the emotion built from the experience while using the product. This research will compare emotional brand image of the three major mobile phone manufactures in Korea (Brand A, C, and S) using evaluation of six representative emotions from users while using the product. The result of evaluating actual mobile phone users and the emotion built while actually using the product showed the brand image, and especially the emotional side of Korean mobile phone manufacturers. The result of this research itself would not be sufficient to simply state the emotional brand image of Korean mobile phone manufactures, but with further research including age, profession, gender and other demographic factors the result of this research would surely be able to abstract a clearer view of emotional brand image of Korean mobile phone manufactures.

• Science of Emotion and Sensibility
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• v.6 no.3
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• pp.45-54
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• 2003

This study is designed to extract sensibility words of mobile phone image and analyze the relational patterns among those words to develope a sensibility model for mobile phone design. We expected the different sensibility scale would be developed according to the case of open or closed. The 25 representative words were abstracted as a result of words collection. As a result of the factor analysis of sensibility evaluation for mobile phone, the mobile phone design image was different according to the state of folding and unfolding. In the state of folder unfolding, the first factor was named as 'cool', the second factor as 'soft' and the third factor as 'handy'. In the state of folding, the first factor was named as 'stylish', the second factor as 'variegated' and the third factor as 'hard'.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.289-297
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• 2007

Color image scale captures the knowledge of colorists and represents both adjectives and colors in the same adjective image scales in order to select color(s) corresponding to an adjective. Due to the difficulty of psychological experiment and statistical analysis, in general, only a limited number of colors are located in the color image scales. This can make color selection process hard especially to non-expert. In this paper, we propose an interpolation of color image scale based on the fuzzy K-nearest neighbor method, which provides continuous colors according to the coordinates of the image scales. The experimental results show that the interpolated image scales can be practically useful for color selection process.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.1-9
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• 2015

Emotion recognition and regular controls are concentrated interest in computer studies to emotional changes. Thus, the quantified by objective assessment methods are essential for application of color sensibility computing situations. In this paper, it is applied to a digital color image emotion emotional computing calculations numbered recognized as one representation. Emotional computing research approach consists of a color attribute to the image recognition focused sensibility and emotional attributes of color is the color, brightness and saturation separated by. Computes the sensitivity weighted according to the score and the percentage increase or decrease in the sensitivity property tone applied to emotional expression. Sensitivity calculation is free-degree (X), and calculates the tension (Y-axis). And free-level (X-axis) coordinate of emotion, which is located the intersection of the tension (Y-axis) as a sensitivity point. The emotional effect of the Russell coordinates are utilizing the core (Core Affect). Tue numbers represent the size and sensitivity in the emotional relationship between emotional point location and quantified by computing the color sensibility.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.642-648
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• 2013

This study investigates the changes inconsumer sensibility and product preferences according to theirecofriendly productperceptions. Stimulants (released by three companies of sport casual brands)include three shirts made of recycled polyester and three made of organic cotton. A surveymethod was used to respond to the emotion and image while watching the presented pictures of the clothes. The change in the reactions was analyzed before and after the presentation of eco-friendliness information. The questionnaire consists of sensibility adjectives, open-ended questions about the associated image of eco-friendliness, color attractiveness, product favorability, price satisfaction, and reasons for an eco-friendly productpurchase. The survey was conducted on 200adult male and female participants. Two factors ('eco' and 'design')were identifiedthrough the factor analysis of image adjectives. There was a statistically significant increase in the evaluation of sensibility, color attractiveness, product favorability, and price satisfactiondue to the re-evaluation of the same products after consumers recognized the eco-friendly information of apparel products. When consumers recognize products aseco-friendly, they evaluate the products more positively than before. The result of the analysis of the increases by textile materials shows no significant difference in the sensibility changes depending on the materials. However, with regard to 'eco', the increase of sensibility change for organic cotton products was larger than for recycled polyester products.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.683-688
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• 2008

The emotional information processing is to simulate and recognize human sensibility, sensuality or emotion, to realize natural and harmonious human-machine interface. This paper proposes an emotion-based image retrieval method. In this method, user can choose a linguistic query among some emotional adjectives. Then the system shows some corresponding representative images that are pre-evaluated by experts. Again the user can select a representative one among the representative images to initiate traditional content-based image retrieval (CBIR). By this proposed method any CBIR can be easily expanded as emotion-based image retrieval. In CBIR of our system, we use several color and texture visual descriptors recommended by MPEG-7. We also propose a fuzzy similarity measure based on Choquet integral in the CBIR system. For the communication between system and user, a relevance feedback mechanism is used to represent human subjectivity in image retrieval. This can improve the performance of image retrieval, and also satisfy the user's individual preference.