• KIISE Transactions on Computing Practices
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• v.22 no.6
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• pp.290-295
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• 2016

Recently, folksonomy-based image-sharing sites where users cooperatively make and utilize tags of image annotation have been gaining popularity. Typically, these sites retrieve images for a user request using simple text-based matching and display retrieved images in the form of photo stream. However, these tags are personal and subjective and images are not categorized, which results in poor retrieval accuracy and low user satisfaction. In this paper, we propose a categorization scheme for folksonomy images which can improve the retrieval accuracy in the tag-based image retrieval systems. Consequently, images are classified by the semantic similarity using text-information and image-information generated on the folksonomy. To evaluate the performance of our proposed scheme, we collect folksonomy images and categorize them using text features and image features. And then, we compare its retrieval accuracy with that of existing systems.

• The Journal of Korean society of community based occupational therapy
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• v.1 no.1
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• pp.73-78
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• 2011

Purpose : This purpose of this study was to improve the Image of Occupation Therapy for developing profession of Occupation Therapy. Method : The subjects in this study were Dep. of Occupational Therapy Students of University located in Gwang-ju chonnam. After collecting 340 evaluation forms, 316 analyzed and compared them, excluding unanswered or damaged forms. Conclusion : 1) The Image of Occupation Therapy in Dep. of Occupational Therapy Students(M=3.676) was positively perceived. 2) Factor analysis on instrument was conducted that four constructions of professional, social, devotion, and job images. Among four images of Occupation Therapy, professional image was most highly perceived(M=3.925), which were followed by devotion image(M=3.84), job images(M=3.774), and social image(M=3.160). 3) There is no statistical difference of Occupation Therapy image between grade levels.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.533-540
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• 2002

We can buy products everywhere from Web-based shopping mall using desktop, cellular phone or PDA. To guarantee the various services for different equipment, shopping mail systems should allow a lot of different size or quality of images to provide a good service to their customers. Despite of same product image, each shopping mall saves the image in its storage space individually. Furthermore, all the product images in each shopping mall are stored as images of different quality. It may waste resources of shopping mail server and bring us developmental overhead. It is difficult to update all the images for product that is used by distributed e-catalog in everywhere. In this paper, we extended the proposed Web Image Server (WIS) for sharing one image with all clients and processing Image dynamically, so that we strengthened the function of managing shopping mall as a client of WIS and added the function of recording clients'log file and image catalog for shopping mall. We measured the response time from WIS and conventional e-Commerce site using by WAS which is one of the stress test tools for Web application. Furthermore, we measured WIS responses image requests in reasonable time when the current user is increased.

• Review of KIISC
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• v.12 no.2
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• pp.25-33
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• 2002

지문인식 센서는 광학방식, 열방식, 반도체방식 등 다양한 입력 방식이 존재하며, 입력 방식에 따라 이미지의 특성이 다르게 나타난다. 특히 입력 방식의 차이는 알고리즘으로부터 정확한 결과를 도출하는데 중요한 역할을 한다. 따라서 다양한 입력 방식에 따른 센서들의 특징과 여러 조건하에서의 센서들의 이미지 품질을 비교해 보고 지문이미지로부터 특징점을 추출하고 매칭하는 과정에 대한 이해와 다양한 알고리즘의 특징등을 비교, 분석하여 발전방향에 대한 동향을 살펴본다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.159-162
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• 2002

영상분석의 한 분야로서 에지 검출을 이용하는 많은 분야가 있다. 영상의 에지는 입력 영상에 대한 많은 정보를 제공해 준다. 본 논문에서는 입력영상에 대한 에지검출을 통한 윤곽선 추출을 하여 각각의 픽셀에 대한 에지검출 결과값을 비교하였다. 입력영상으로는 얼굴이미지를 사용하였으며 서로 다른 이미지에 대한 Sobel Filter의 검출의 결과 데이터를 각 픽셀마다 비교함으로써 원영상에 대한 동일인임을 판단하는 기준을 제시하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.538-540
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• 2000

프랙탈 이미지 압축을 적용하는 경우 많은 시간을 필요로 하는 블록의 비교과정에서 블록 정보의 효율적인 처리를 위하여 선형으로 연결된 기존의 블록 정보 저장을 tree 구조의 형태로 저장하는 방법을 제안한다. Tree의 형태로 저장된 블록의 정보는 BFS 탐색을 이용하여 참조, 사용되며 이를 tree의 각 node에 분류된 domain 블록의 개수로 표현하여 기존의 전체 탐색과 비교 분석하였다.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.111-112
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• 2016

본 연구는 한국과 일본의 즉석밥 패키지 디자인을 비교분석하는 연구로써 한국, 일본의 즉석밥 상위브랜드 4개를 선정하여 패키지 디자인의 구조적 요소와 시각적 요소로 나누어 분석하였다. 그 결과 한국의 경우 현대적인 즉석밥의 이미지를 보여주는 것과 달리 일본의 경우 전통적인 즉석밥의 이미지를 보여주며 관용색상을 많이 사용하는 것으로 나타났다. 이러한 연구의 결과가 일본 즉석밥 시장의 진출을 위한 자료로 활용 될 수 있음을 기대해 본다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.53-56
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• 2000

본 논문에서는 컬러이미지의 스케일링(scaling)을 위해 경사투영방법을 사용하여 기본적인 보간방법, 최소자승근사(least square approximation)의 결과들과 비교하여 보았다. 경사투영방법은 최소의 근사오차(approximation error)를 제공하는 수직투영(orthogonal projection)방법과 유사한 결과를 제공하며 전처리 필터 디자인에 자유성을 부여하고, 좀 더 일반화된 형태의 보간 방법이다. 사용된 방법을 기본적인 보간법들과 비교하여 보았을 때 더 좋은 PSNR의 결과를 얻을 수 있었으며 최소자승근사 방법과 유사한 결과들을 얻을 수가 있었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.75-87
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• 2009

We propose in this paper a novel approach to image fusion in which the fusion rule is guided by optimizing an image clarity function. A Genetic Algorithm is used to stochastically select, comparative to the clarity function, the optimum block from among the source images. A novel nested Genetic Algorithm with gifted individuals found through bombardment of genes by the mutation operator is designed and implemented. Convergence of the algorithm is analytically and empirically examined and statistically compared (MANOVA) with the canonical GA using 3 test functions commonly used in the GA literature. The resulting GA is invariant to parameters and population size, and a minimal size of 20 individuals is found to be sufficient in the tests. In the fusion application, each individual in the population is a finite sequence of discrete values that represent input blocks. Performance of the proposed technique applied to image fusion experiments, is characterized in terms of Mutual Information (MI) as the output quality measure. The method is tested with C=2 input images. The results of the proposed scheme indicate a practical and attractive alternative to current multi-focus image fusion techniques.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.2
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• pp.166-172
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• 2014

Image classification is an important problem in computer vision. However, it is a very challenging problem due to the variability, ambiguity and scale change that exists in images. In this paper, we propose a method of a hypergraph based modeling can consider the higher-order relationships of semantic attributes of a scene image and apply it to a scene image classification. In order to generate the hypergraph optimized for specific scene category, we propose a novel search method based on a probabilistic subspace method and also propose a method to aggregate the expression values of the member semantic attributes that belongs to the searched subsets based on a linear transformation method via likelihood based estimation. To verify the superiority of the proposed method, we showed that the discrimination power of the feature vector generated by the proposed method is better than existing methods through experiments. And also, in a scene classification experiment, the proposed method shows a competitive classification performance compared with the conventional methods.