• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.2
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• pp.130-141
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• 2012

This study examines the characteristics of landscape elements and the reappearance techniques of traditional landscape image in Chinatown of the Shanghai Street in Busan, Korea. The subjects of the study are commercial buildings owned by Chinese residents, commercial buildings' naming design and environmental sculptures in the Shanghai Street. The results are as follows: First, the design methods of the front side of commercial buildings were classified into two parts: facede design of buildings and signboard design. The design form of the buildings' facades were classified into five types, there are: emphasis type on Chinese characters' signboard, addition type on decorative signboard, introduction type of traditional patterns, imitation type of traditional architectures and modern architectures' modes. The signs of chinese commercial buildings were observed mostly as having a traditional Chinese font in yellow/white on a red background. It has been found that this style was the most popular method of sign design. Secondly, The commercial buildings' naming design was analyzed into design methods and meanings. Design methods were classified into three types: a combination of meaning and place, a combination of season and atmosphere and tourist attractions. The meaning of the commercial buildings' names was divided into three kinds: the wishes of the prosperity, elegant type and the appropriation of local attractions. Thirdly, the environmental sculptures of Shanghai Street were found to have been influenced by both through out Chinese culture with mixed Korean culture. Finally, as for characteristics of landscape elements, we found three reappearance techniques - addition, replacement, juxtaposition. The technique of addition is added new face to the base map by just two methods - extending and overlapping area. Replacement is created new faces from base map by the action of replacing, it has three types - local replacement, package replacement, successive replacement. Juxtaposition is the fact of two or more things placed together with contrasting effect, it also has three types - the same kind juxtaposition, a different kind juxtaposition, topological juxtaposition. This study is the basic research which is analyzing the landscape design in chinatown. But the research only on Shanghai Street may have some limits in scope. It is considered an necessary study to add, which is about chinatown in other city such as Incheon, Jeonju. Then it is expected that the results of this study can be used for the basic data of the landscape plans, that municipalities are actively progressing their respective development projects of Chinatown.

• Journal of KIISE:Databases
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• v.27 no.4
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• pp.562-571
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• 2000

이미지 데이터는 텍스트 데이터와는 달리 다양한 색상과 모양, 질감과 같은 비정형적인 특징을 가진다. 따라서 이미지 데이터베이스는 텍스트 기반의 전통 데이터베이스와는 다른 모델링 방법과 질의, 검색 방법을 사용한. 특히, 내용 기반 이미지 검색에서의 검색 속도와 정확도를 향상시키기 위해서는 새로운 복합 질의문 계획 생성 기법이 필요하다. 본 논문에서는 이를 위해 먼저, 단일 조건을 갖는 시각 질의에 대한 처리 기법들을 토대로 여러 조건을 갖는 복합 질의를 처리하기 위한 복합 질의문 계획 생성기법인 SSCC(Similarity Search for Conjunction Combination Query) 알고리즘을 제안한다. SSCC는 이미지 데이터베이스 검색 시스템에서 복합 질의를 처리하기 위한 질의 최적화 과정에서 질의 수행 시간과 투플 I/O를 최소화하는 질의문 계획을 생성하기 위해 사용된다. SSCC 알고리즘은 복합질의를 단일 질의들로 준해하고 퍼지 집합 이론을 도입하여 단일 질의의 결과들을 통합한다. 논문에서 연구된 내용 기반 복합 질의문 계획 생성 기법은 특정 이미지 영역에 국한되지 않으며 다양한 종류의 시각 질의를 수행하기 위한 효율적인 질의문 계획 생성 기법으로 사용될 수 있다.

• Journal of KIISE
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• v.43 no.7
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• pp.795-800
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• 2016

In image classification, recent CNNs compete with human performance. However, there are limitations in more general recognition. Herein we deal with indoor images that contain too much information to be directly processed and require information reduction before recognition. To reduce the amount of data processing, typically variational inference or variational Bayesian methods are suggested for object detection. However, these methods suffer from the difficulty of marginalizing over the given space. In this study, we propose an image-text integrated recognition system using active vision based on Spatial Transformer Networks. The system attempts to efficiently sample a partial region of a given image for a given language information. Our experimental results demonstrate a significant improvement over traditional approaches. We also discuss the results of qualitative analysis of sampled images, model characteristics, and its limitations.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.4
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• pp.631-646
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• 2008

The objective of this study was to investigate satisfaction and revisit intention of Muju Firefly Festival visitors, based on visitors’ evaluation of festival images. The result of this research provided three major findings as belows. 1. The factor of “uniqueness of festival” among emotional image group and the factors of “festival spirit” and “educational impact” among cognitive image group contributed to the levels of visitor satisfaction. 2. The factors of “uniqueness of festival” and “traditionalism of festival” among emotional image group and the factors of “festival spirit” and “educational impact of festival” among cognitive image group influenced the revisit intention of festival visitors. 3. The factor of “uniqueness of festival” among emotional image group and factors of “festival spirit” and “educational impact” among cognitive image group had an impact on the intention of word of mouth.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.21-29
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• 2007

Anisotropic diffusion is one of the widely used techniques in the field of image segmentation. In the conventional anisotropic diffusion [1]-[6], usually 4-neighborhood directions are used: north, south, west and east, except the image diagonal directions, which results in the loss of image details and causes false contours. Existing methods for image segmentation using conventional anisotroplc diffusion can't preserve contour information, or noises with high gradients become more salient as the umber of times of the diffusion increases, resulting in over-segmentation when applied to watershed. In this paper, to overcome the shortcoming of the conventional anisotropic diffusion method, a new arusotropic diffusion method based on diagonal edges is proposed. And a method of watershed segmentation is applied to the proposed method. Experimental results show that the process time of the proposed method including diagonal edges over conventional methods can be up to 2 times faster and the Circle image quality improvement can be better up to $0.45{\sim}2.33(dB)$. Experiments also show that images are segmented very effectively without over segmentation.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.59-60
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• 2019

2016년 개봉한 <말레피센트>는 디즈니 애니메이션 영화 <잠자는 숲속의 공주>를 원작으로 한 판타지 영화이다. 원작 <잠자는 숲속의 공주> 이야기를 바탕으로, 기존의 전통적인 공주와 왕자의 사랑이야기를 벗어나지 않으면서, 마녀가 진정한 사랑을 깨닫는 이야기로 각본되었다. 이러한 각본의 특징은 최근 반복적인 이야기 구조에서 벗어나 시청자와 공감대를 형성하려는 스토리로써 크게 성공하고 있다. 때문에 디즈니 애니메이션의 캐릭터 변화에 대한 연구를 통해 최근 여성 가치관의 변화에 관한 연구가 필요하다. 이를 위해 본 연구에서 디즈니 애니메이션의 대표작품을 선정하고 주요 여성 캐릭터를 대상으로 외모측면, 권력 및 계급 측면, 젠더 측면 등의 캐릭터의 대비를 진행하였다. 연구결과 전통적인 여성 캐릭터 이미지와 의미는 능동적이고 주체적으로 변화되고 있는 것으로 확인되었고, 현 시대가 공감하는 여성의 가치를 중심으로 스토리를 더욱 현실감 있게 표현하여 영화를 성공으로 이끌 수 있었음을 알 수 있었다.

• Journal of Science and Technology Studies
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• v.12 no.1
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• pp.79-106
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• 2012

The paper discusses the issue of reality related to interaction between users and electronic figures that mediate by online game system. MMORPG(Massively Multiple Online Role Playing Game) has been known as virtual world that physically and electronically interconnect users and mechanical elements over huge area. Already game items have became a kind of reality for some users long time ago. How these figures could have been regarded as realities? It suggests to take place the temporality of practice around game world. Tremendous practices of human and machines produce their relations and these relations are reinforced self-referentialy. They could constitute their time-space frame that be situated a figure as the something in it.

• Journal of Korea Game Society
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• v.18 no.2
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• pp.89-98
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• 2018

The recent Neural Network technique has shown good performance in content generation such as image generation in addition to the conventional classification problem and clustering problem solving. In this study, we propose an image generation method using artificial neural network as a next generation content creation technique. The proposed artificial neural network model receives two images and combines them into a new image by taking color from one image and shape from the other image. This model is made up of Convolutional Neural Network, which has two encoders for extracting color and shape from images, and a decoder for taking all the values of each encoder and generating a combination image. The result of this work can be applied to various 2D image generation and modification works in game development process at low cost.

• Journal of Distribution Science
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• v.10 no.6
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• pp.17-26
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• 2012

Suncheon is a city comprising a rural and urban area, where there are four types of large stores. Studies have shown that there are too many large stores serving the local population of just 300,000. However, geographically, Suncheon is located at a transportation hub that borders the cities of Gwangyang and Yeosu as well as the local counties of Boseong and Gurae. Residents of these areas can reach these shopping stores within an hour's drive. Thus, the managers of these four stores regard residents in these areas as their valued customers and endeavor to create a differentiated image among them. In this study, 13 different images were used to determine the public's opinions and feelings towards these stores and the differences were analyzed. The store images measured overall store impression, diversity of the product, the quality of products displayed at the store, accessibility, the atmosphere, service to the customers, and so on. These images are evaluated subjectively by each customer and are major factors in them deciding to revisit the stores. The 13 images are classified into five main categories and further classified into 13 sub-categories. Three kinds of factor images were extracted from the store images in the five main categories by factor analysis using SPSS Ver. 19. The first factor image was extracted from the images of convenience, atmosphere, and service in the main categories and is called a sub-service factor for the store in this study. Accessibility to the store was classified as a convenience image in the main category and was extracted as a common factor along with diversity and the price of goods. These differences are expected according to the store location, that is, the difference between stores located in a large city and those in a small local city, and depending on the nature of survey respondents. The result shows that there is a significant difference between the stores' images with regard to accessibility, the price of products, brand image, and lighting/sound image. This study has the following limitations. First, the survey sample was restricted to residents of a small local city that includes rural and urban populations. The differences between the store images regarding traffic and accessibility are factored by store location, whether they are located within a large or a small city as well as the economic situation of these cities. Second, only the customers of large-scale stores were included in the survey as respondents. Relatively large traditional markets are held every five days in local cities and there is competition between large-scale stores and traditional markets with regard to diversity and the price of goods. It could be expected that customers in large-scale stores and customers in traditional markets would hold different store images. In future studies, images of stores in large cities should be compared with the images of stores located in small local cities. In addition, customer behavior when buying goods in large-scale stores should be compared with their behavior when buying goods in traditional markets.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.631-634
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• 2009

Recent advances in wireless communication, electronics, MEMS device, sensor and battery technology have made it possible to manufacture low-cost, low-power, multi-function tiny sensor nodes. A large number of tiny sensor nodes form sensor network through wireless communication. Sensor networks represent a significant improvement over traditional sensors, research on Zigbee wireless image transmission has been a topic in industrial and scientific fields. In this paper, we design a Zigbee wireless image sensor node and multimedia monitoring server system. It consists of embedded processor, memory, CMOS image sensor, image acquisition and processing unit, Zigbee RF module, power supply unit and remote monitoring server system. In the future, we will further improve our Zigbee wireless image sensor node and monitoring server system. Besides, energy-efficient Zigbee wireless image transmission protocol and interworking with mobile network will be our work focus.