• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.487-497
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• 2000

The purpose of this study was performed 1) to study the differences in advertisement expression and brand preference according to the lifestyle groups of high school girl students(Sports Uninterest Group, Friend Preference/Fashion Uninterest Group, Sports Preference/Horne Oriented Group. fashion Interest Group, and Confidence Group) and 2) to investigate the effects on the brand preference of adolescents of lifestyle, brand and advertisement image and advertisement expression forms. The subjects selected for the final analysis were high school girl students living in Pusan, Seoul and Taejeon, Korea. The statistics used for data analysis were factor analysis, one-way ANOVA, Duncan's multiple range test, stepwise multiple regression, frequency distribution and percentage by the SPSS program. The results of this study were as follows: 1. The preferences of advertising expression forms were significantly different among lifestyle groups: the Friend Preference/Fashion Uninterest Group preferred to sex appealing advertising expression form less than other groups. 2. The brand preferences were significantly different among lifestyle groups: the Confidence Group preferred brand less than other groups in general. 3. The brand preferences were affected by life style, brand and advertising image and preferences of advertising expression forms. And brand image influenced most significantly on the brand preferences.

• Cartoon and Animation Studies
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• s.15
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• pp.73-88
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• 2009

Light is a basic force that functions in all the formative arts. Light (brightness) is an important subject of study in that it contains the force to control emotion and has much influence upon the shaping of a visual image and a feeling. If an artist systematizes the characteristics of brightness and creates an image, he or she can acquire a useful tool of expression. Because light is a powerful medium of expression of a visual image, a study on the characteristics of brightness for the emotional expression of an image in the contextual relationship with narratives seemingly has a crucial meaning. Emotion is influenced by a visual image very much, and a visual image is inevitably influenced by light. The brightness by light is basically classified into bright, dim, and dark. And the three basic stages of brightness specialize an image according to the setting of scope of maximal and minimal luminosity, and the image is further differentiated by the size of bright portion or dark portion. Since emotion is such a phenomenon as immaterial and psychological, it is difficult to break down it. Furthermore, clarifying the principle of an image in which the shade of light is associated is impossible. However, the width of luminosity and the change of size can give quite a change to a visual image, and the visual image has further influence upon man's emotion too. Although the influence of brightness upon a visual image varies with extents, circumstances, and personal tastes and interests, even the same image clearly changes with the adjustment of brightness.

• Journal of Information Processing Systems
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• v.19 no.3
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• pp.323-333
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• 2023

Facial expression recognition can aid in the development of fatigue driving detection, teaching quality evaluation, and other fields. In this study, a facial expression recognition method was proposed with a residual masking reconstruction network as its backbone to achieve more efficient expression recognition and classification. The residual layer was used to acquire and capture the information features of the input image, and the masking layer was used for the weight coefficients corresponding to different information features to achieve accurate and effective image analysis for images of different sizes. To further improve the performance of expression analysis, the loss function of the model is optimized from two aspects, feature dimension and data dimension, to enhance the accurate mapping relationship between facial features and emotional labels. The simulation results show that the ROC of the proposed method was maintained above 0.9995, which can accurately distinguish different expressions. The precision was 75.98%, indicating excellent performance of the facial expression recognition model.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06a
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• pp.133-140
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• 1999

In this paper, we propose a method of image-based three-dimensional modeling for realistic facial expression. In the proposed method, real human facial images are used to deform a generic three-dimensional mesh model and the deformed model is animated to generate facial expression animation. First, we take several pictures of the same person from several view angles. Then we project a three-dimensional face model onto the plane of each facial image and match the projected model with each image. The results are combined to generate a deformed three-dimensional model. We use the feature-based image metamorphosis to match the projected models with images. We then create a synthetic image from the two-dimensional images of a specific person's face. This synthetic image is texture-mapped to the cylindrical projection of the three-dimensional model. We also propose a muscle-based animation technique to generate realistic facial expression animations. This method facilitates the control of the animation. lastly, we show the animation results of the six represenative facial expressions.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.289-296
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• 2019

This study was done to explore the relationship alcoholcs' body image, belief emotion expression, communication competence and related factors. Alcoholcs' body image, belief emotion expression, communication competence level scales were used as the measurement tools with a sample of 151 students from 2 hospitals in J-city and S-city. T-test, ANOVA, Pearson correlation and stepwise multiple regression with SPSS/WIN 21.0 version were used to analyze the data. Alcoholcs' body-image was negatively correlated with belief emotion expression but was negatively correlated with communication competence. Belief emotion expression was negatively correlated with communication competence. Hierarchical regression analysis showed that body-image, education degree, and belief emotion expression explained 24.9 % of communication competence. The results of this study can be used as basic data to improve the communication competence of alcoholics.

• The Research Journal of the Costume Culture
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• v.24 no.5
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• pp.642-652
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• 2016

The purpose of this study is to understand the concept of a sexual image and verify the method of its design expression through case studies of the sexual image evening dress shown in an Haute Couture Collection over the last 10 years (2005~2014). The results of analysis are as follows: First, "expression by the seeing through of the natural body" expressed a natural sexual image that combined fashion of the previous times with the beauty of the natural body by using a see-through material and classic or ethnic image. Second, "expression of a sexual-image look that emphasizes romantic detail" illustrated a romantic sexual image that emphasizes feminine sensitivity by mixing various ornamental elements such as see-through material and symbolism of underwear image. Third, "creation of a nude look using skin color" expressed sexual image of an evening dress by inducing erotic sexual association through a combination of opaque material of skin color and design shape that is intended for body exposure. Fourth, "combination of sexual symbol and heterogeneous elements" expressed a decadent, avant-garde and futuristic sexual images by using women's underwear and a sexual symbol as design motif and mixed with mismatching elements. Fifth, "use of a fantastic black image" expressed an exclusive and refined sexual image and a decadent and primitive sexual image by using a fantastic image of black color. The results of this study are expected to be used for the design process of the evening-dress industry that aims for quality improvement.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1996.06b
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• pp.122-127
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• 1996

We introduce the outline of our research plans concerning mental image expression for the purpose of communication. We are studying the Computer Organized Media Integration & Communication System (COMICS)as a flexible media handling environment. The system can expand the potential of mental image expression by freely handling and integrating various kinds of media. An experimental COMICS is also introduced.

• Journal of the Regional Association of Architectural Institute of Korea
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• v.9 no.3
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• pp.1-8
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• 2007

Heidegger's speculation on "Disclosure" makes it possible to know on image expression fundamentally. "Disclosure" means that the 'earth' and the 'world' are not fixed into one, but harmonize dynamically with each other under continuous mutual tension and mutual support. When they are well-weaved with each other, the two ways are collectively defined as "disclosure Image". In regard to the technique, the study analyzed 'allegory' and 'reactivation'. The former refers to showing image potentially, while the latter means embodying and revealing image apparently. Le Corbusier's late Architecture provides a simultaneous reactivation of various images through continuous cross-weaving rather than being inclined to either the earth or the world.

• ETRI Journal
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• v.32 no.5
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• pp.784-794
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• 2010

Automatic facial expression recognition has many potential applications in different areas of human computer interaction. However, they are not yet fully realized due to the lack of an effective facial feature descriptor. In this paper, we present a new appearance-based feature descriptor, the local directional pattern (LDP), to represent facial geometry and analyze its performance in expression recognition. An LDP feature is obtained by computing the edge response values in 8 directions at each pixel and encoding them into an 8 bit binary number using the relative strength of these edge responses. The LDP descriptor, a distribution of LDP codes within an image or image patch, is used to describe each expression image. The effectiveness of dimensionality reduction techniques, such as principal component analysis and AdaBoost, is also analyzed in terms of computational cost saving and classification accuracy. Two well-known machine learning methods, template matching and support vector machine, are used for classification using the Cohn-Kanade and Japanese female facial expression databases. Better classification accuracy shows the superiority of LDP descriptor against other appearance-based feature descriptors.

• Asia pacific journal of information systems
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• v.29 no.3
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• pp.359-381
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• 2019

Social networking services (SNSs) have become important and popular tools for not only presenting self-image but also sharing travel information. This study adopted self-image expressions to understand tourists' intentions to share travel information and behavioral changes in SNSs. To enhance understanding tourists' intention and behavior, the current study suggests a research model based on motivations for self-image expression (i.e., creativity, altruism and social relationship). This current study empirically resulted in the importance of users' creativity, altruism and social relationship in SNS, which leads to the intention and behavioral changes to share travel information. In addition, altruism moderated the negative effect of creativity on self-image expression as well as the positive effect of the social relationship on self-image expression. Based on the result of this study, the current study bears some implications in a theoretical and practical context.