• Korean Institute of Interior Design Journal
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• v.22 no.4
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• pp.52-61
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• 2013

This study set out to compare and analyze the spaces in the images and sets of the representative movies that led the new heyday of Korean film since 1997 and examine the characteristics of contemporary Korean modernism in the movies, thus building an academic foundation for future exchanges between contemporary Korean architecture and contemporary Korean cinema. As for methodologies, the study first examined the film theories on how to utilize spaces projected onto moving images. Secondly, the study made an overall comparison of the characteristics of spaces in the representative movies of contemporary Korean cinema since 1997. Finally, the study compared and analyzed them with the intrinsic characteristics of modernism architecture space. The research findings were as follows: first, the representative movies of contemporary Korean cinema since 1997 either had a backdrop of everyday modernism space in the 1970s and 1980s or created a new space of late or post modernism in them that escaped from daily life for the mise-en-$Sc\grave{e}ne$ composition. Secondly, the contemporary Korean cinemas used the unornamented modernism architecture in Korea as the props of revealing the personalities and emotional aspects of the characters in a prominent fashion. Thirdly, they also used communication between internal and external space and spatial severance via the facade window in modernism architecture as important devices for narration organization. Finally, they selected the camera positions by applying the principle of open space, which allows for the expansion, reduction, and distinction of space according to functions, and thus established a methodology to create a space fit for the personalities of characters and stories.

• The Research Journal of the Costume Culture
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• v.15 no.2 s.67
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• pp.193-202
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• 2007

The purpose of this study was to find out effects of textile motifs and the application methods on wearer's image perception. A survey was conducted to total of 255 male and female university students who are residing in Daejeon and Chungnam province. The stimuli were composed of 2 level tones(dark and light), 3 level complexity(simple, medial and complex), 3 patterns(polka dot, stripe and check) and the 2 way of stimuli application methods(fabric and garment). The instrument for measuring preference of stimuli consisted of 4 items, encouraging, preference, purchasing and popularity. The instrument for measuring image of stimuli consisted 24 pair items. Factor analysis for the adjective pair images(24 inquiries) about the textile patterns which were used in this study was performed. It resulted as three factors which are attraction, salience, and potential. Attraction, salience, and potency dimensions showed the most significant interaction effects of application methods and patterns. And tone and application method effected attraction and salience, tones and patterns effected attraction, tones and complex effected salience. Application methods and patterns effected potential and patterns and complex effected salience. The preferences toward stimuli, it resulted only interaction of tones and patterns affected the preferences('total preference' and 'purchasing'). Pearson's product-moment correlation analysis carried out to find out the relation of images of clothing and preferences. As a result, salience was significant relation with attraction and potency. In correlation between image of textile pattern and preference, attraction is most significant relation with the preference. The results of the study could be used for the marketing strategies of the motif in fashion product.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.12B
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• pp.2369-2381
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• 1999

In this paper, we propose an iterative algorithm for reducing the blocking artifact in block transform-coded images by using a wavelet transform. In the proposed method, an image is considered as a set of one-dimensional horizontal and vertical signals and one-dimensional wavelet transform is utilized in which the mother wavelet is the first order derivative of a Gaussian like function. The blocking artifact is reduced by removing the blocking component, that causes the variance at the block boundary position in the first scale wavelet domain to be abnormally higher than those at the other positions, using a minimum mean square error (MMSE) filter in the wavelet domain. This filter minimizes the MSE between the ideal blocking component-free signal and the restored signal in the neighborhood of block boundaries in the wavelet domain. It also uses local variance in the wavelet domain for pixel adaptive processing. The filtering and the projection onto a convex set of quantization constraint are iteratively performed in alternating fashion. Experimental results show that the proposed method yields not only a PSNR improvement of about 0.56-1.07 dB, but also subjective quality nearly free of the blocking artifact and edge blur.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.33-43
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• 2020

Retrieving a 3D model from a 3D database and augmenting the retrieved model in the Augmented Reality system simultaneously became an issue in developing the plausible AR environments in a convenient fashion. It is considered that the sketch-based 3D object retrieval is an intuitive way for searching 3D objects based on human-drawn sketches as query. In this paper, we propose a novel deep learning based approach of retrieving a sketch-based 3D object as for an Augmented Reality Model. For this work, we introduce a new method which uses Sketch CNN, Wasserstein CNN and Wasserstein center loss for retrieving a sketch-based 3D object. Especially, Wasserstein center loss is used for learning the center of each object category and reducing the Wasserstein distance between center and features of the same category. The proposed 3D object retrieval and augmentation consist of three major steps as follows. Firstly, Wasserstein CNN extracts 2D images taken from various directions of 3D object using CNN, and extracts features of 3D data by computing the Wasserstein barycenters of features of each image. Secondly, the features of the sketch are extracted using a separate Sketch CNN. Finally, we adopt sketch-based object matching method to localize the natural marker of the images to register a 3D virtual object in AR system. Using the detected marker, the retrieved 3D virtual object is augmented in AR system automatically. By the experiments, we prove that the proposed method is efficiency for retrieving and augmenting objects.

• The Research Journal of the Costume Culture
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• v.24 no.1
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• pp.93-106
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• 2016

Study objectives are: 1) to investigate the difference in consumer perceptions of the model's image and physical attractiveness according to advertising model types; 2) to explore the effect of the difference between the model's image and the consumer's self image, the difference between the model's image and the brand's image, and the physical attractiveness of the model on attitude toward the advertising model; and 3) to explore the effect of attitude toward the advertising model on attitude toward the advertisement. A total of 306 female consumers over the age of 45 participated in experiments with advertisement stimuli for a senior apparel brand. Results showed a significant difference in the model's images and physical attractiveness according to each model type. The consumer's attitude toward the advertising model was determined by physical attractiveness of the model, not by the difference between model's image and the consumers' self-image, nor by the difference between the model's image and brand image. Attitude toward advertisements was determined by attitude toward the advertising model. The findings imply that advertising models of a senior apparel brand can be selected based on the physical attractiveness of the model. Consumers do not consider whether the model's image fits well with their self-images or the brand's image when building an attitude toward the advertising model, and this precedes the consumer's attitude toward the advertisement. These results can be used as guidelines to select appropriate models for advertisements of senior apparel brands.

• The Research Journal of the Costume Culture
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• v.25 no.3
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• pp.285-300
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• 2017

This study analyzes the images of models in womenswear advertisements targeting women in their fifties. The goals of this study are: 1) to investigate beauty ideals for middle-aged women by analyzing models' look age, chronological age, wrinkles, gray hair, hair length, body type, and race; and 2) to explore how ageing is dealt with in advertisements by analyzing the range of bodies shown in advertisements, the color mode of photographs, and the clarity of models' figures in relation to models' look ages. A total of 155 printed advertisements from January 2012 to January 2017 from the brands Daks Ladies, Lebeige, Luciano Choi, PAT, and Zishen were selected for analysis. Womenswear brands targeting middle-aged women reinforce cultural ideals of female beauty that emphasize youth and slenderness. They do this by using thin and slender models, who most often appear to be in their twenties and thirties, and have hair longer than their shoulders. Brands with higher price ranges show a preference for Caucasian models, which reveals that a Caucasian identity is associated with sophistication. In addition, the bodies of models who appear to be in their forties and fifties were concealed by framing photographs mostly above the knees. Older models' features were also obscured via the use of black and white photography, strong lighting and contrast, and digital editing that blurred the boundaries between figures and their backgrounds. These decisions for how to represent models could result in negative self-esteem and a denial of the symptoms of ageing among middle-aged women.

• English & American cultural studies
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• v.13 no.1
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• pp.83-103
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• 2013

This paper focuses on the function of suicidal images in the history of art including literature. Death has been romanticized or repoliticized into an existential act of defiance and rebellion in literary works, so questions remain about the correlation between literary suicide and the essence of suicide. Although Jacques Ranciere insists that the order of art contrasts with the order of common people whose acts and gestures can express either their specific purposes nor the rationalities of their frustration, literary suicide reflects the outside life of readers. In fact, images of suicide produces the order of things about the real world. William Shakespeare's Hamlet handled two oppositional self-murder significantly. As Ron M. Brown pointed out, Hamlet, by choosing confrontation, seeks out an end which is voluntary, thus he avoids self-destruction and feels triumph of heroic fashion. Ophelia's self-chosen death stems from loss, frailty and the disintegration of reason, which demeans the act and diminishes her from the tragic to the pathetic(16). In the $19^{th}$ century, the resurrection of Ophelia acted as the context for later periods where life itself is fictionalized from the differing periods of network of signifier and texts. Finally, in Ophelia's case, fiction became life(Brown 285). Her suicidal image was fixed in the Victorian Culture whose visual discourse was strikingly similar to that of the men. Likewise, the ambiguities of the suicide became intertwined with the social, cultural issues of a certain period, and the paradigm of suicide was conformed to the changing needs of successive generations. However, if literary art understands that a European culture grappled with the almost impossible task and coming to terms with this strangest and most persistent of phenomena, it will be able to focus on of the multi-layered suicide by recognizing the inherent instability of the verbal sign which cannot reveal the design and grammar of truth.

• Smart Media Journal
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• v.9 no.4
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• pp.162-169
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• 2020

Design is a key factor that determines the competitiveness of products in the textile and fashion industry. It is very important to measure the similarity of the proposed design in order to prevent unauthorized copying and to confirm the originality. In this study, a deep learning technique was used to quantify features from images of textile designs, and similarity was measured using Spearman correlation coefficients. To verify that similar samples were actually detected, 300 images were randomly rotated and color changed. The results of Top-3 and Top-5 in the order of similarity value were measured to see if samples that rotated or changed color were detected. As a result, the VGG-16 model recorded significantly higher performance than did AlexNet. The performance of the VGG-16 model was the highest at 64% and 73.67% in the Top-3 and Top-5, where similarity results were high in the case of the rotated image. appear. In the case of color change, the highest in Top-3 and Top-5 at 86.33% and 90%, respectively.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.117-124
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• 2013

In this paper, we present a new method which efficiently estimates a face direction from a sequences of input video images in real time fashion. For this work, the proposed method performs detecting the facial region and major facial features such as both eyes, nose and mouth by using the Haar-like feature, which is relatively not sensitive against light variation, from the detected facial area. Then, it becomes able to track the feature points from every frame using optical flow in real time fashion, and determine the direction of the face based on the feature points tracked. Further, in order to prevent the erroneously recognizing the false positions of the facial features when if the coordinates of the features are lost during the tracking by using optical flow, the proposed method determines the validity of locations of the facial features using the template matching of detected facial features in real time. Depending on the correlation rate of re-considering the detection of the features by the template matching, the face direction estimation process is divided into detecting the facial features again or tracking features while determining the direction of the face. The template matching initially saves the location information of 4 facial features such as the left and right eye, the end of nose and mouse in facial feature detection phase and reevaluated these information when the similarity measure between the stored information and the traced facial information by optical flow is exceed a certain level of threshold by detecting the new facial features from the input image. The proposed approach automatically combines the phase of detecting facial features and the phase of tracking features reciprocally and enables to estimate face pose stably in a real-time fashion. From the experiment, we can prove that the proposed method efficiently estimates face direction.

• Science of Emotion and Sensibility
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• v.19 no.1
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• pp.71-82
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• 2016

Consumers tend to perceive the shoes as just their footwear to protect and comfort foot and fashion products to decorate and express their self-images. Even though online market research analysis indicated shoes consumption is important in daily life of consumers, there is limited research that was conducted specifically on shoes e-market. The research investigates the process of shoes' e-impulse buying focusing on the effects of shopping orientation, marketing stimulus and consumers' perceived risk in shoes market at Internet. A total of 408 self-administered questionnaires were obtained from universities students, who had experienced the e-impulse buying of shoes at least once for the last six months. Results confirmed that consumers who had higher hedonic shopping orientation or brand shopping orientation were more likely to consider the marketing stimuli (e.g., promotion stimuli and product stimuli), whereas consumers who had higher economic shopping orientation were consider the lower marketing stimuli and the more perceived functional risk in the e-shopping context of shoes. For shoes, marketing stimulus had directly positive effects on e-impulse buying, while consumers' perceived risk had no significant effects on e-impulse buying. The findings suggest that the market stimulus, which is affected by consumers' shopping orientation, is an important factor in triggering e-impulse buying of shoes.