• Journal of Fashion Business
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• v.24 no.2
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• pp.100-118
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• 2020

The purpose of this study was to identify the characteristics and meaning of collaboration with artists who have been with Louis Vuitton, focusing on bags, which are representative products of the luxury Louis Vuitton brand, -The research method was literature research and case studies. The theoretical study was based on previous studies and literature examine the concept and type in collaboration and to examine the trend in fashion and art collaboration. The case study was conducted after 2000 by collecting collaborative works between Louis Vuitton and artists based on their homepage, fashion information, and collection sites. Five artists and six artists(Sam Falls, Urs Fischer, Nicholas Hlobo, Alex Israel, Tschabalala Self and Jonas Wood), including Stephen Sprouse, Richard Prince, Takashi Murakami, Kusama Yayoi, and Jeff Koons, were analyzed for the art collaboration cases and contents that were conducted mainly on bags. This study found the following collaboration characteristics: first, classic image innovation: fun and lightness; second, deviating from the boundaries of fashion bags: the art of life, and third, building high-end luxury brand differentiation: scarcity and the introduction of authorism. It is expected that the basic data will be presented in the study of art collaboration design of fashion bags as well as academic data on the differentiation of luxury brands and the artisticization of products in the future.

• The Journal of Korean Medical History
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• v.21 no.2
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• pp.123-133
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• 2008

The Meridian and Collateral Diagram is one of the most important 圖像s of Traditional Korean Medicine. A 圖像 is a picture made on a two-dimensional surface using lines and colors to portray an object or an image. Meridian and Collateral diagram is a 圖像 of the human body with indications of acupoints and meridian passageways and have different names such as 經穴圖, 輸穴圖, 鍼灸圖, 明堂圖, 銅人圖, in accordance with its classification. The documental basis of the Meridian and Collateral Diagram is the Internal Classic and the very first Meridian and Collateral Diagram confirmed through textual evidence can be found in 葛洪's "抱朴子 雜應". The Korean 동인도 in existence today, called '銅人明堂之圖', exists in two versions; a hand-copied version and a wooden engraving block version. It displays all the locations of the acupoints located on the anterior side of the human body, labels the names of the acupoints, and specifically distinguishes 起始穴 and 終止穴 of the eight meridian vessels.

• Archives of Plastic Surgery
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• v.38 no.5
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• pp.674-678
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• 2011

Purpose: Straight closure line of classic Weir excision leaves visible scars and makes it difficult to precisely approximate resection margins. Hence this study introduces Park-Weir excision that effectively reduces alar width with minimal alar rim scar by 3-dimensional zigzag incision and properly controls the approximation of edges. Methods: From 2008 to 2010, 14 patients underwent Park-Weir excision, crossed wedge excision on alar rim not exceeding 5 mm in width. Each patient was photographed in the same position. Alar width and columellar height against intercanthal distance was compared preoperatively and postoperatively, using image analysis software. Results: Five patients were female and nine were male. Average follow up period was 8 month. Alar width was reduced by 50.50% to 45.96%, original alar width reduced by 8.98% without significant changes in columellar height which was reduced by 0.39%. No visible scar was reported during outpatient follow-up. Conclusion: Park-Weir excision effectively reduces alar width and corrects the flaring of alar without affecting the columellar height. Zigzag incision of Park-Weir excision leaves aesthetically more pleasant scar than straight single incision of classical Weir excision.

• ETRI Journal
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• v.41 no.1
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• pp.93-108
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• 2019

Guaranteeing interoperability between devices and applications is the core role of standards organizations. Since its first JPEG standard in 1992, the Joint Photographic Experts Group (JPEG) has published several image coding standards that have been successful in a plethora of imaging markets. Recently, these markets have become subject to potentially disruptive innovations owing to the rise of new imaging modalities such as light fields, point clouds, and holography. These so-called plenoptic modalities hold the promise of facilitating a more efficient and complete representation of 3D scenes when compared to classic 2D modalities. However, due to the heterogeneity of plenoptic products that will hit the market, serious interoperability concerns have arisen. In this paper, we particularly focus on the holographic modality and outline how the JPEG committee has addressed these tremendous challenges. We discuss the main use cases and provide a preliminary list of requirements. In addition, based on the discussion of real-valued and complex data representations, we elaborate on potential coding technologies that range from approaches utilizing classical 2D coding technologies to holographic content-aware coding solutions. Finally, we address the problem of visual quality assessment of holographic data covering both visual quality metrics and subjective assessment methodologies.

• Journal of Korea Multimedia Society
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• v.25 no.1
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• pp.39-51
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• 2022

Image-based gender classification and age estimation of human are classic problems in computer vision. Most of researches in this field focus just only one task of either gender classification or age estimation and most of the reported methods for each task focus on accuracy performance and are not computationally light. Thus, running both tasks together simultaneously on low cost mobile or embedded systems with limited cpu processing speed and memory capacity are practically prohibited. In this paper, we propose a novel light-weight gender classification and age estimation method based on ensemble multitasking deep learning with light-weight processing neural network architecture, which processes both gender classification and age estimation simultaneously and in real-time even for embedded systems. Through experiments over various well-known datasets, it is shown that the proposed method performs comparably to the state-of-the-art gender classification and/or age estimation methods with respect to accuracy and runs fast enough (average 14fps) on a Jestson Nano embedded board.

• Smart Structures and Systems
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• v.29 no.1
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• pp.153-166
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• 2022

Identifying fine cracks in steel bridge facilities is a challenging task of structural health monitoring (SHM). This study proposed an end-to-end crack image segmentation framework based on a one-step Convolutional Neural Network (CNN) for pixel-level object recognition with high accuracy. To particularly address the challenges arising from small object detection in complex background, efforts were made in loss function selection aiming at sample imbalance and module modification in order to improve the generalization ability on complicated images. Specifically, loss functions were compared among alternatives including the Binary Cross Entropy (BCE), Focal, Tversky and Dice loss, with the last three specialized for biased sample distribution. Structural modifications with dilated convolution, Spatial Pyramid Pooling (SPP) and Feature Pyramid Network (FPN) were also performed to form a new backbone termed CrackDet. Models of various loss functions and feature extraction modules were trained on crack images and tested on full-scale images collected on steel box girders. The CNN model incorporated the classic U-Net as its backbone, and Dice loss as its loss function achieved the highest mean Intersection-over-Union (mIoU) of 0.7571 on full-scale pictures. In contrast, the best performance on cropped crack images was achieved by integrating CrackDet with Dice loss at a mIoU of 0.7670.

• Journal of the Korean Society of Costume
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• v.65 no.1
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• pp.150-163
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• 2015

Due to desire for more variation from male consumers within the men's fashion market in Korea, there has been an ongoing development of departmentalization of fashion styles. The Generation-X man, in particular, is the most active member of our current day society, and will be the principal agent in the senior market from here on forth. Thus, this study categorized their preferred fashion styles, and will seek to analyze the behaviors related to the pursuit of clothing of the Generation-X man. The qualitative investigations of the Q-method as well as the quantitative investigation of the SPSS 12.0 were used in conjunction as the method of study. Additionally, images and types resulting from the preceding first-year study entitled "The Type and Characteristics of the Modern Men's Fashion Images" were utilized as part of the surveys. As a result of the Q-method, which was used to derive the preferred fashion styles of the Generation-X man, they were classified into three categories: the classic suit preferring 'conservative class type', the polished, comfortable style preferring 'modern sophisticated type', and the adventure and variety seeking 'uninhibited individualistic style'. After analyzing the factors which influence clothing preference behaviors of these men, a total of seven causes were drawn from the results, including: conservative indifference to fashion, others conscious pursuit of fashion, the aim to show off brand name products, high involvement in the aspect of design, pursuit of TPO, pursuit of self-image, and conformity to fashion. The elements that revealed differences in the behaviors in pursuing clothing within the preferred fashion style types of the Generation-X man included the conservative indifference to fashion, and others conscious pursuit of fashion, which therefore shows that rather than enjoying the fashion lifestyle, these men possess a more conservative disposition instead.

• Journal of the Korean Society of Costume
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• v.61 no.5
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• pp.1-20
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• 2011

As a follow-up of a study on design strategies to improve Korea's Korean coast guarduniforms, this study set out to propose Korean coast guard uniforms of a new concept that would meet the changing needs of the times and match the advanced technology and work environments. Three concepts of classical, nautical and techno chic were identified from the design strategies of the previous study. Using the results from a prototype show and preference survey, the investigator divided items into design, color, material, and detail and reflects demands for each of them. As a result, design was examined in four aspects of identity, acknowledgement, unity, and practicality and focused its improvement factors on design differentiated from other organizations' uniforms including ground police, segmentation of size system, adjustment of the length of upper garment to consider activity, and changes to the lines and silhouette to give out a modern image. As for color, the focus was placed on differentiated colors from other organizations' uniforms including ground police through dark blue and ocean color, change toward colors that reflect environmental characteristics, and unity in colors between the summer and winter uniform. As for material, the focus of improvement was put on elasticity, resistance against contamination, warmth retention, texture, wearing sensation, and functionality by taking into account convenience for field workers on coast guard vessels and branch offices who have much time in contact with ocean environments in order to make the materials high-grade. As for detail, structural details were added to give out a modern image such as changing the detail lines, efficiency of storage space, buttons, sleeve hems, ironing lines, and neck collars by taking into account environmental characteristics. The significance of the study lies in that it proposed a development model for large-scale uniform copy design by establishing copy design that secures functionality and is proper for an organization's social and cultural environment.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.3
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• pp.67-81
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• 2004

This research demonstrates clothing consumption values, fashion preferences of career women from the early 1920s to late 1930s. And having thorough understanding of values and preferences, allows us to establish marketing strategies for clothing companies. The main purpose of this study is (1) to formalize consumer group based upon the clothing consumption values, (2) to find for characteristics of consumer depending on classification of consumption value in clothing, (3) to understand the preferences of career women about fashion trends. Analyzing data was performed 292 copies, resulting factor analysis, Cluster analysis, X-test, Anova, Tukey test, t-test, frequency analysis, and reliability analysis. This paper showed 7 distinctive characteristics of career women about clothing consumption value. These characteristics can be listed as 1) value of brand image, 2) value of self-expression, 3) functional values, 4) epistemic values, 5) coordination values, 6) social values 7) psychological values. Importantly, brand image value became most significant aspects among 7 factors. Analyzing consumers based upon stated 7 factors, it was found that they are segregated into 4 groups; Self-expressive Group, Psychological Stability Group, Functional Group, Social Group. Secondly, for fashion trend preferences, self-expressive group, psychological stability group, and functional group favored Romantic Feminine Style respectively. Social Group showed preference in Nu-Basic'. The reason for such trend dealt with fabric materials and colors. Finally examining population statistics, younger generations showed more preferences in Nu-Basic', and consumers from ages of 26 to 28, 32 to 34 showed preferences in Romantic Feminine' regardless of their household income, clothing related expenditures, jobs, and education level. On the other hand, 'Modem Classic' was popular among college graduates and 'Paradise' was somewhat less popular among all ages except from ages of 32 to 34, consumers consumption 300,000Won to 400,000Won on clothing related expenditures. And 'Energy' seemed to attract more highly educated females, who had more than masters in degrees with over 300,000 to 400,000Won for clothing related expenditures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3567-3582
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• 2020

Human activities are often affected by weather conditions. Automatic weather recognition is meaningful to traffic alerting, driving assistance, and intelligent traffic. With the boost of deep learning and AI, deep convolutional neural networks (CNN) are utilized to identify weather situations. In this paper, a three-channel convolutional neural network (3C-CNN) model is proposed on the basis of ResNet50.The model extracts global weather features from the whole image through the ResNet50 branch, and extracts the sky and ground features from the top and bottom regions by two CNN5 branches. Then the global features and the local features are merged by the Concat function. Finally, the weather image is classified by Softmax classifier and the identification result is output. In addition, a medium-scale dataset containing 6,185 outdoor weather images named WeatherDataset-6 is established. 3C-CNN is used to train and test both on the Two-class Weather Images and WeatherDataset-6. The experimental results show that 3C-CNN achieves best on both datasets, with the average recognition accuracy up to 94.35% and 95.81% respectively, which is superior to other classic convolutional neural networks such as AlexNet, VGG16, and ResNet50. It is prospected that our method can also work well for images taken at night with further improvement.