• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.223-232
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• 2016

The purpose of the study is to explore the attitude of the Korean television drama in mongolia market impact Korea country image, corporate and product's image formation. The research is conducted effects of Korean image, its company, product and belief of its product and influence of procurement of Korean products in Mongolia in terms of Mongolian has enormously watched Korean drama since latest of 1990. Korean drama can influence Korean products image. Watching Kore and rama can influence view of Mongolian in quality of Korean products, design etc. Korean dramas can affect images of Korean company. Watching Korean drama can influence opinion of Mongolian in staff, culture, level of technique of Korean company moreover, competitiveness of Korean company in international market and etc. Korean drama can influence Korean image. Watching Korean drama can reach aspect of Mongolian in Korean education level, national security, reconstruction and income of population and etc. The most effective factor in product reliability and procurement was country image but company image can not influence that. In conclusion according to survey result within Mongolian customers that Korean drama has some influence in Korean image, its company image, product image, and product reliability and procurement of Korean product.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.139-148
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• 2019

Franchise coffee shops have continued to attempt to differentiate themselves using cultural arts to engage with changes in consumer awareness and lifestyle. This empirical study was conducted to analyze structural relations between cultural marketing and brand image, customer satisfaction, and intention to revisit for franchised coffee shops. 322 customers at S Coffee Shop (a franchised coffee shop in Daegu) were surveyed, and collected data were subjected to frequency, descriptive, reliability, correlation, and covariance structural analysis using SPSS software. We found that culture marketing significantly improved brand image and customer satisfaction, and thus, significantly influenced intention to revisit. The study shows culture marketing activities improve brand image and increase customer satisfaction and the likelihood of revisiting.

• Annual Conference of KIPS
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• 2017.11a
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• pp.151-154
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• 2017

본 논문에서는 사용자의 주변사물을 인식하여 영단어로 알려줌으로써 사용자가 실생활에서 영단어를 능동적으로 학습할 수 있도록 돕는 애플리케이션을 개발한다. 본 애플리케이션은 사용자가 카메라로 촬영하거나 사진첩에서 선택한 이미지를 인식하여 사진 속 물체의 영어 단어와 한국어 뜻을 알려주며, 단어의 발음 또한 확인할 수 있고, 직접 단어장에 저장하여 다시 학습할 수 있도록 한다. 이를 위해 TensorFolw를 활용한 딥러닝 기반 이미지 인식 기술을 사용하였으며, 추후 TensorFolw를 통하여 모델을 추가적으로 훈련시킴으로써 이미지 인식의 정확도를 높일 수 있다. 그 외 영어-한국어 번역, 텍스트-음성 변환 등 부가 기능을 통해 사용자가 다양한 방식으로 영단어를 학습할 수 있도록 한다.

• Annual Conference of KIPS
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• 2019.05a
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• pp.668-670
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• 2019

현재 이미지 데이터가 기하급수적으로 늘어나고 있으며, 이를 유의미한 정보로 해석하기 위한 여러 기술적 방안이 모색되고 있다. 본 연구에서는 Google Vision API를 통해 인물 이미지의 의류 분석 모델을 생성하고, 의류 카테고리에 따른 라벨링 시스템을 도입하여 이미지 분류 플랫폼을 제작하고자 한다.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.139-148
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• 2015

The purpose of image fusion is to combine the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality and increase the application of these data important applications of the fusion of images include medical imaging, remote sensing, and robotics. In this paper, we suggest a new method to generate a fusion image using the close relation of image features obtained through maximum entropy threshold and mutual information. This method represents a good image registration in case of using a blurring image than other image fusion methods.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.6
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• pp.177-186
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• 2020

Recent advances in deep learning technology have improved image recognition performance in the field of computer vision, and serverless computing is emerging as the next generation cloud computing technology for event-based cloud application development and services. Attempts to use deep learning and serverless computing technology to increase the number of real-world image recognition services are increasing. Therefore, this paper describes how to develop an efficient deep learning based image recognition service system using serverless computing technology. The proposed system suggests a method that can serve large neural network model to users at low cost by using AWS Lambda Server based on serverless computing. We also show that we can effectively build a serverless computing system that uses a large neural network model by addressing the shortcomings of AWS Lambda Server, cold start time and capacity limitation. Through experiments, we confirmed that the proposed system, using AWS Lambda Serverless Computing technology, is efficient for servicing large neural network models by solving processing time and capacity limitations as well as cost reduction.

• Journal of Korea Multimedia Society
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• v.17 no.3
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• pp.373-384
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• 2014

Humankind longed for an image like the sense of sight and has developed history of image on the basis of the will toward record and reproduction. A long period of time was required for accumulation of technology for reproduction of an object, but directing point has always been impression experienced by the 'eyes.' But it has not all been pointing in the realistic image. This study aimed to discuss about its process and directing point of the paradigm of image creation that has been continued together with progress of humankind based on the academic outcomes achieved by Platon. 'Mimesis' classified by Plato required techne how far it may be distant from 'Idea.' Techne went forward in the direction of securing rationality according to accumulation of civilization in the end and reality, the history of mimesis was the process toward 'realistic image' and 'fantastic image'.

• Journal of the Korea Computer Graphics Society
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• v.24 no.5
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• pp.1-10
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• 2018

In this paper, we present a non-photorealistic rendering technique that automatically delivers a stylized abstraction of a photograph with DoF(Depth of field). Our approach is a new filtering method that efficiently classifies DoF regions using RGB channels and automatically adjusts the color abstraction and extracted line quality based on this classification. This DoF-based filtering is simple, fast, and easy to implement and significantly improves the abstraction performance in terms of feature enhancement and stylization.

• Annual Conference of KIPS
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• 2019.05a
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• pp.605-607
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• 2019

최적의 사진을 얻기 위해 시각적 방해요소들을 개선할 수 있는 기술들을 조사했다. CNN 모델을 활용한 HDR 이미지 재구성, 방해물과 원하는 피사체와의 깊이 차이에서 생기는 시차를 이용한 이미지 처리를 사용해서 시각적 방해요소를 개선하는 알고리즘을 기술했다.

• Annual Conference of KIPS
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• 2000.10b
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• pp.1075-1078
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• 2000

본 논문에서는 무선선로상의 제약과 무선 단말기의 제한된 자원을 이용하여 무선 인터넷 서비스를 좀 더 효율적으로 제공하기 위한 WBMP(Wireless BitMaP) 변환기와 해석기의 설계 및 구현에 대하여 기술한다. WBMP 변환기는 기존의 이미지를 단색의 압축되지 않은 형태인 WBMP 이미지로 변환하고, 단말기 내의 WBMP 해석기는 WBMP 이미지를 해석하여 브라우저를 통해 나타낸다. WBMP 이미지는 헤더의 구조가 간단하고, 이미지 표현에 사용되는 데이터의 양이 적으므로 무선 환경에 적합한 형태이다. 그러나 컬러 이미지를 변환하면 이미지 정보가 손실되거나 왜곡될 수 있고, 표현된 컬러의 수가 많을수록 손실률은 높아진다. 따라서 향후 그레이-레벨 이미지 또는 컬러 이미지로의 변환 및 해석 기능을 확대 적용할 필요가 있다.