• Journal of Korean Society of Rural Planning
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• v.17 no.2
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• pp.1-11
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• 2011

This research selected The Old Rectory, Sissinghurst and East Lambrook Manor as a case study location that is meaningful to discuss potager garden, herb garden and harvest garden, which is a topic of productive garden. This research focuses on the growth potential of Korea's rural house into a garden that embellishes decoration and appreciation. The application method through the interpretation of the case study location will be, first, organizing the shape of the flower bed and then adding additional materials along with the main materials. Second, it can increase the appreciation of productive garden through layering method and making it abundant. Third, it can be utilized well by pursuing artistic feature by combing unique color and texture of edible plants. Lastly, for the weakness of flat structure by short edible plants, vertical structure shall be utilized to provide decoration and frame. Also, by using natural materials, the ambiance of the garden can be presented.

• Journal of the Korean Society of Costume
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• v.56 no.9 s.109
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• pp.112-126
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• 2006

In this study, to study the aesthetic properties of the Italy fashion, the internal fashion contents are defined according to the cultural characteristics of Italy and based on the definition, the external features are investigated. The cultural characteristic was analyzed based on the reference literatures on the Italy culture. The aesthetical properties of the contemporary Italy fashion can be analyzed as follows: ${\cdot}$ Functionalism is a feature showing the Italian cultural environment where the genuine humanism is retained. It enables the practical designs by applying details and materials that wouldn't put a limit to the movement of the human body. ${\cdot}$ Naturalism focuses on the natural beauty of the human body without any artificial forms or exaggerated ornaments. Natural texture or materials are used to express the human body itself, or to emphasize the natural aesthetic effects flowing with the human body. ${\cdot}$ Localism is the expression of folk spirit affected by the natural environment. It expresses local atmosphere by unique craftsmanship in material, pattern, color and details. Based on this result, the aesthetic properties of the contemporary France fashion, examined through ${\Iceil}$A Cultural Approach to the Aesthetic Characteristic of the 20th Century French Fashion${\rfloor}$ and those of the contemporary Italy fashion are compared.

• Journal of the Korean Society of Costume
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• v.40
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• pp.5-23
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• 1998

The main purpose of this study was intended to analyze the image of N대-Expressionism represented in the late of 20th century fashion design. By the late 1960s and the early 1970s. the prevailing notion of modernity, which had pushed the limits of art beyond previous boundaries, had begun to lose its urgency. Critics called the new pluralistic era which the West was entering Post-Modern. Furthermore, the predominance of America and the New York scene is diminishing, and artistic leadership is now international. Post-Modernism dialectcally made denial of Modernism as likely as New Image Painting and Decorative Pattern Painting Art in 1970's and it was availed as a dialectcal means for the pre-diction of new comings that would be appeared at painting art in 1980's. New Image Painting has been called as Neo-Expressionism. The N대-Expressionists selected human's feature because appeared flankly, directly irregular agitation in the visual effect and they believed human's destructive and amputate body was cruelty. So they express it on the surface canvas. Under the these background, the image of Neo-Expressionism was represented in the late of 20th century fashion design such as the upside-down image of human feature, the image as ameditation on German myth and history, culture, the ecletic image is made of use a mixture of material. The properties of composition, line, color, texture, and form, common to all plastic art, are now more readily recognized and historically valued in every work. That is, individuality, humanity, and the human condition have been at the core of most Western art and Fashion design. Especially Fashion design has been one of the principal instruments used to examine our nature and to promote the notion of growth, self-understanding, and change.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.115-129
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• 2011

In this paper, we will introduce some method about retrieving suitable images to game or adjusting game difficulty in enjoying some contents like mini-game. It will use the technology about extracting color and texture features in content-based image retrieval in image processing. So in card game, it select card image automatically. And by controlling seed image number, we can adjusting game difficulty. Through the experiment, it shows that our image retrieval method can retrieve more useful images that can be used in game than others.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.7
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• pp.816-822
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• 2016

Content-Based image retrieval is a method to search by image features such as local color, texture, and other image content information, which is different from conventional tag or labeled text-based searching. In real life data, the number of images having tags or labels is relatively small, so it is hard to search the relevant images with text-based approach. Existing image search method only based on image feature similarity has limited performance and does not ensure that the results are what the user expected. In this study, we propose and validate a machine learning based approach to improve the performance of the image search engine. We note that when users search relevant images with a query image, they would expect the retrieved images belong to the same category as that of the query. Image classification method is combined with the traditional image feature similarity method. The proposed method is extensively validated on a public PASCAL VOC dataset consisting of 11,530 images from 20 categories.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.49-59
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• 2009

Contents-based image retrieval methods are in general more objective and effective than text-based image retrieval algorithms since they use color and texture in search and avoid annotating all images for search. SIM(Self-organizing Image browsing Map) is one of contents-based image retrieval algorithms that uses only browsable mapping results obtained by SOM(Self Organizing Map). However, SOM may have an error in selecting the right BMU in learning phase if there are similar nodes with distorted color information due to the intensity of light or objects' movements in the image. Such images may be mapped into other grouping nodes thus the search rate could be decreased by this effect. In this paper, we propose an improved SIM that uses HSV color model in extracting image features with color quantization. In order to avoid unexpected learning error mentioned above, our SOM consists of two layers. In learning phase, SOM layer 1 has the color feature vectors as input. After learning SOM Layer 1, the connection weights of this layer become the input of SOM Layer 2 and re-learning occurs. With this multi-layered SOM learning, we can avoid mapping errors among similar nodes of different color information. In search, we put the query image vector into SOM layer 2 and select nodes of SOM layer 1 that connects with chosen BMU of SOM layer 2. In experiment, we verified that the proposed SIM was better than the original SIM and avoid mapping error effectively.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.3
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• pp.171-180
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• 2003

A content-based image retrieval(CBIR) system builds the image database using low-level features such as color, shape and texture and provides similar images that user wants to retrieve when the retrieval request occurs. What the user is interest in is a response time in consideration of the building time to build the index database and the response time to obtain the retrieval results from the query image. In a content-based image retrieval system, the similarity computing time comparing a query with images in database takes the most time in whole response time. In this paper, we propose the two-phase search method with the clustering technique of feature vector in order to minimize the similarity computing time. Experimental results show that this two-phase search method is 2-times faster than the conventional full-search method using original features of ail images in image database, while maintaining the same retrieval relevance as the conventional full-search method. And the proposed method is more effective as the number of images increases.

• Journal of Fashion Business
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• v.1 no.2
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• pp.1-19
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• 1997

This thesis is a reflection of Korean aestheticism and how it has evolved and influenced Korean contemporary fashion throughout the last century. Up to the current, there have been five notable trends of fashion that have been influenced from and have reflected the qualities emblematic of various periods in Korean history. They can be characterized as the era of Missionary fashion, Uniform fashion, Salon fashion, Brand Name Fashion, and finally, fashion from the current era of diversification. The specific characteristics of each fashion era have been analized and illustrated in a comprehensive table. Design characteristics of Korean contemporary fashion are as follows : 1. A point of emphasis is given to facial feature, unconstructive design and ample silhouette and A silhouette, two-piece and pants. Korean style wrap skirt, a smooth curve and layered style. 2. Effect of flatness from material; as methods of quilting, reinforced dual stitching(Kaeki), patchwork, embroidery and goldfoil thread extra, it is turned up that texture of cloth stuff and effects of flatness. 3. Simple color combinations give effects in two different directions For instance, white and a variety of vivid colors, a dull color and bright colors, black, blue. 4. Over-design, diffusion of fashion. Based on the design characteristics described above, the essence of Korea's beauty consciousness can be captured and summarized through the following points: 1. Emotionalism and non-characterism: traditional and simple natural beauty and modernized natural beauty. 2. From authoritism to non-authoritism: traditional and formal personal beauty and casual characteristic beauty. 3. Polaris (antithesis) phenomenon: chastic beauty and ostentatious beauty, simplicity and lavishness, conformity of fashion and originality. Although the beauty consciousness of Korean contemporary fashion is changing from traditional passive metaphor to aesthetic expressionism for the new generation, after all the basic foundation or root of the spiritual beauty of idealism is usually recognized by focusing on the face.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.6
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• pp.17-21
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• 2000

Typical image features such as color, shape, and texture are used in content based image retrieved. Retrieval which uses only one image feature has little performance in case that the content of image is complex or database contains many images. So, many approaches for integrating these features have been studied. However, the problem of these approaches is how to appropriately weight the image features at query time. In this paper, we propose a new retrieval method using automatically weighted image features. We perform computer simulations in test database which consists of various kinds of images. The experimental results show that the proposed method has better performance than previous works, which use fixed weight for each feature mostly, in respect to several performance cvaluations such as precision vs recall, retrieval efficiency, and ranking measure.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.13-22
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• 2009

In this paper, we propose the 3D shape reconstruction method that combine the mosaic method and the active stereo matching using the laser beam. The active stereo matching method detects the position information of the irradiated laser beam on object by analyzing the color and brightness variation of left and right image, and acquires the depth information in epipolar line. The mosaic method extracts feature point of image by using harris comer detection and matches the same keypoint between the sequence of images using the keypoint descriptor index method and infers correlation between the sequence of images. The depth information of the sequence image was calculated by the active stereo matching and the mosaic method. The merged depth information was reconstructed to the 3D shape information by wrapping and blending with image color and texture. The proposed reconstruction method could acquire strong the 3D distance information, and overcome constraint of place and distance etc, by using laser slit beam and stereo camera.