• Journal of KIISE:Databases
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• v.34 no.3
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• pp.193-205
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• 2007

Increasing amount of digital images requires more accurate and faster way of image retrieval. So far, image retrieval method includes content-based retrieval and keyword based retrieval, the former utilizing visual features such as color and brightness and the latter utilizing keywords which describe the image. However, the effectiveness of these methods as to providing the exact images the user wanted has been under question. Hence, many researchers have been working on relevance feedback, a process in which responses from the user are given as a feedback during the retrieval session in order to define user’s need and provide improved result. Yet, the methods which have employed relevance feedback also have drawbacks since several feedbacks are necessary to have appropriate result and the feedback information can not be reused. In this paper, a novel retrieval model has been proposed which annotates an image with a keyword and modifies the confidence level of the keyword in response to the user’s feedback. In the proposed model, not only the images which have received positive feedback but also the other images with the visual features similar to the features used to distinguish the positive image are subjected to confidence modification. This enables modifying large amount of images with only a few feedbacks ultimately leading to faster and more accurate retrieval result. An experiment has been performed to verify the effectiveness of the proposed model and the result has demonstrated rapid increase in recall and precision while receiving the same number of feedbacks.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.493-495
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• 2004

최근, 디지털 카메라와 디지털 캠코더처럼 디지털 장비가 대중화됨에 따라, 이미지 데이터가 급증하게 되었다. 이와 함께, 이미지 검색에 대한 요구도 증가하게 되었으며, 단순한 텍스트 검색이 아닌 이미지의 특징에 기반한 검색이 요구되고 있다. 특징 기반의 검색은 색상, 질감, 모양 등과 같은 특성에 기반한 검색으로 사람이 일일이 주석을 입력하는 방식보다 자동화가 가능하며, 빠르게 인덱싱할 수 있는 장점이 있다. 본 연구에서는 모양을 이용하여 이미지를 인덱싱 하였으며, 스케치된 식물의 잎 모양의 이미지를 이용 하였다. 또한, 식물의 잎에 뻗어있는 잎맥의 모양을 이용하여 검색의 정확도를 높였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.330-335
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• 2006

본 논문에서는 neural network을 이용한 이미지 장르(유형) 분류 시스템을 소개한다. 이 논문에서 제안된 시스템은 이미지를 예술(art), 사진(photo), 만화(cartoon) 이미지라는 세 가지 장르(유형) 중 하나로 분류한다. 이미지의 특성은 표준 MPEG-7 visual descriptor를 사용하여 추출된 후, neural networks를 이용하여 학습된다. 시뮬레이션 결과는 제안된 시스템이 80% 이상의 이미지들을 정확한 장르(유형)로 분류하는 것을 보여준다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.237-240
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• 2000

본 논문에서는 원격탐사 이미지 데이터의 분석과정중의 하나인 이미지의 분류를 위해서 적용되는 다중분광 영상에서 특징 추출을 위한 효율적인 방법을 제안한다. 즉, 웨이브렛 변환을 이용하여 위성탐사 이미지 데이터의 특성을 분석하여 실제 이미지 분류에 기여도가 높은 특징을 추출하는 방법을 제안하였다. 효과적인 특징을 추출하기 위하여 이미지 데이터의 텍스쳐 특징을 이용하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.3-5
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• 2007

본 논문에서는 새로운 내용기반 이미지 검색 기법으로 식물 잎의 윤곽선에 대하여 동적 시간 정합 기법을 이용하여 유사한 이미지를 효과적으로 검색하는 방법을 제안한다. 이를 위하여 우선 식물 잎의 기준점에 대하여 잎의 가장자리를 따라 가면서 구해지는 거리의 곡선을 통하여 잎의 외형 특성을 표현하였다. 추출된 곡선 정보의 효율적인 저장과 처리를 위하여 곡선의 특성을 표현할 수 있는 퓨리에 계수(Fourier Coefficients)를 계산하고 이를 바탕으로 유사한 이미지를 계산하였다. 이런 과정에서 생기는 문제점으로는 복잡한 형태의 곡선에 대해서는 퓨리에 계수를 통하여 저장하고 복원하는 과정에서 원본 곡선의 세부적인 형태 정보를 상실하게 된다. 이러한 문제를 해결하기 위해서는 복잡한 곡선 유형에 대해서는 복원시 상실되는 정보가 최소화될 수 있는 작은 단위의 구간으로 나누고 이에 대한 퓨리에 계수를 계산하는 방법으로 다수의 퓨리에 계수 세트를 추출하는 이진 구간 분할 (Binary Range Reduction) 알고리즘을 사용하였고 질의 이미지와 저장된 이미지들을 비교하는 과정에서 검색의 정확도를 향상시키기 위하여 동적 시간 정합(Dynamic Time Warping) 알고리즘을 사용하였다. 그리고 검색의 효율을 더욱 높이기 위하여 추출된 외형 정보를 기반으로 잎의 유형을 다양한 카테고리로 분류하는 외형 기형 기반의 잎 분류 기법을 제안하였다. 다양한 실험을 통하여 제안한 기법이 식물 잎 검색에 우수한 성능을 나타냄을 보인다.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.79-87
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• 2019

This research aims to suggest the direction of visual expression of a dokkaebi, based on the image of it that people possess. The method of the research is questionnaire survey. For the case study, fifteen picture books have been selected and thirty three imagery adjectives have been extracted. As the result this research poses the methods as following; firstly, cheerful and humorous appearance of Dokkaebi in Korean image, secondly, present of behavioral expression, for third, design with the visually specialized factor.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.551-555
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• 2010

In protein 2-DE image analysis, the accuracy of spot-matching operation which identifies the spot of the same protein in each 2-DE gel image is intensively influenced by the errors caused by the various experimental conditions. This paper proposes an efficient method to find more accurate spot-matching patterns based on multiple reference gel images in spot-matching pattern analysis in protein 2-DE image analysis. Additionally, in order to improve the reduce the execution time which is increased exponentially along with the increasing number of gel images, a "partition then extension" framework is used to find spot-matching pattern of long length and of higher accuracy. In the experiments on real 2-DE images of human liver tissue are used to confirm the accuracy and the efficiency of the proposed algorithm.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.371-380
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• 2019

To identify the relationship between instructor's image and participation motive, this study conducted a research on 293 elderlies over 65 at 6 sports centers located in Seoul, Gyeonggi, and Incheon regions. The research results were as follows. First, in the image of instructor based on demographic characteristic, gender showed significant difference with instructor's talent while gender showed significant difference with instructor's talent, instructing image, and living image. Also, the sports type had significant difference with all subfactors of instructor image. Secondly, in the participation motive based on the demographic characteristic, gender showed significant difference with internal motive while age and sports type demonstrated significant difference with all subfactors of participation motive. third, the instructor image had significant influence on both internal and external motive. While instructing image and human relationship image had significant difference in internal motive, the external motive showed significant difference with instructor talent, living image, and human relationship image. thus, the research result showed that instructor's image is a significant variable which enhances elderly's motive for participating in life sports.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2010.05a
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• pp.85-88
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• 2010

It is essential to understand the spray characteristics of injectors for the development of liquid rocket engine systems. In this study, the image processing methods for the measurement of the spray characteristics such as spray angle, breakup length and drop size of Gas-Centered Swirl Coaxial(GCSC) injectors have been investigated. The charge-coupled device (CCD) camera with a stroboscope was used to capture the spray images. It is to be hoped that this methods could contribute to acquisition of reliable and worthwhile data for the design of injectors. Moreover, this image processing method will be verified by comparison with other experimental results.

• Archives of design research
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• v.19 no.4 s.66
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• pp.31-40
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• 2006

For a long time, we have been good at the static image, 'the country of calm morning' as reminding Korea. But, it became a chance that we were recognized newly and actively through the success of the Olympic games in 1988 and World cup games in 2002 all over the world. And foreigners' interest and expectation for Korea becomes much higher by these reasons. Moreover, the importance of our cultural industry, recognition for new cultural improvement have been changing step by step by the oriental trend in Asia in these days. So, this study intends to realize the Korean symbol with showing Korean Identity and its image's applying to the street furniture design through the making of special street which expresses well the Korean Image. There is a purpose of this study not to use as just street furniture but to make characterized Korean culture through showing examples which are based on Korean culture. The way of the improvement for the street furniture design using Korean image are these we analyze the character of Korean international image with the previous data for the change of Korean Image. We understand the symbol of changed Korean international Image, and extract the design elements. We analogize the shape, material and color image of the street furniture which is joined with both the Korean national image and formative traditional elements. At last, we formalize its symbolic image by applying to the street furniture according to the design improvement process with the analogized image. The formal study using Korean image makes more cleary the Korean Identity, and it doesn't influence only the actual change but also Korean cultural value equipment.