• Journal of Distribution Science
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• v.14 no.9
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• pp.65-72
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• 2016

Purpose - This study is to examine the effect of Korean Wave (Hallyu) towards consumer purchase intention of Korean Product in Indonesia. In addition, this study also investigates the image of Korea whether it can give an impact on Indonesian consumers' intention to purchase Korean Products. Research design, data, and methodology - A total of 227 respondents from Indonesian consumers were collected using online surveys. The results from this survey were analyzed using principal component analysis (PCA) to identify each of the factors. Multiple regression and process analysis (designed by Andrew F. Hayes) were conducted to test the hypotheses. Results - This research found that 'Korean Wave', 'Ethnocentrism', and 'Country-of-Origin Image' significantly affected consumer purchase intention towards Korean Products in Indonesia, while 'Country Image' on the purchase intention was not significant affected the purchase intention. Conclusions - Study findings provide useful information for business practitioners and government to develop and maintain the use of Korean Wave in the business and marketing fields. By only referring to the image of country, it will be difficult for the consumers to decide whether they want to purchase the products or not. In other words, the favorable image of Korea, usually represented by high level of industrialization and economy, is more likely to be enhanced by favorable image of product and Korean cultural wave.

• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1311-1318
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• 2021

Agriculture is being damaged by harmful animals such as wild boars and water deer. It need to get permission to catch a wild boar and farmers are using a lot of methods to chase harmful animals. The methods through deep learning and image processing capture harmful animals with cameras. It is difficult to analyze harmful animals that are active at night. In this case, In this case, using deep learning by image correction can achieve a higher recognition rate.

• Korea Trade Review
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• v.45 no.1
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• pp.301-319
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• 2020

This study aims to explore the positive impact of Korean drama watching satisfaction on purchase intention for Korean products by considering the mediating roles of social distance to Korea, national image of Korea, and Korean product image. This study identified that Korean drama reduced the social distance to Korea while increasing the positive image of Koreas and Korean products. However, the reduced social distance was not positively associated with Korean product image and Korean product purchase intention. This implies that Korean dramas directly affect Korean product purchase intension and indirectly affect Korean national image and product image. This study supplies guidance to international marketers who aims to enter the Myanmar market. To use the Korean wave as a Korean product marketing tool, marketing strategies need to cover Korean culture-relevant materials such as cultural background, cultural characteristics, exposed products, and so on.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.404-404
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• 2012

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.169-172
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• 2005

Genetic algorithm based predictor for lossless image compression is propsed. We describe a genetic algorithm to learn predictive model for lossless image compression. The error image can be further compressed using entropy coding such as Huffman coding or arithmetic coding. We show that the proposed algorithm can be feasible to lossless image compression algorithm.

• Journal of Korea Multimedia Society
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• v.22 no.11
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• pp.1269-1279
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• 2019

In medical image analysis, segmentation is considered as a vital process since it partitions an image into coherent parts and extracts interesting objects from the image. In this paper, we consider automatic segmentations of OCT retinal images to find six layer boundaries using convolutional neural networks. Segmenting retinal images by layer boundaries is very important in diagnosing and predicting progress of eye diseases including diabetic retinopathy, glaucoma, and AMD (age-related macular degeneration). We applied well-known CNN architecture for general image segmentation, called Segnet, U-net, and CNN-S into this problem. We also proposed a shortest path-based algorithm for finding the layer boundaries from the outputs of Segnet and U-net. We analysed their performance on public OCT image data set. The experimental results show that the Segnet combined with the proposed shortest path-based boundary finding algorithm outperforms other two networks.

• Journal of Korea Multimedia Society
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• v.17 no.10
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• pp.1171-1181
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• 2014

In this paper, we propose improved methods which are image conversion and extraction method of watershed seed using morphological characteristic of teeth on complement image. Conventional tooth segmentation methods are occurred low detection ratio at molar region and over, overlap segmentation owing to specular reflection and morphological feature of molars. Therefore, in order to solve the problems of the conventional methods, we propose the image conversion method and improved extraction method of watershed seed. First, the image conversion method is performed using RGB, HSI space of tooth image for to extract boundary and seed of watershed efficiently. Second, watershed seed is reconstructed using morphological characteristic of teeth. Last, individual tooth segmentation is performed using proposed seed of watershed by watershed algorithm. Therefore, as a result of comparison with marker controlled watershed algorithm and the proposed method, we confirmed higher detection ratio and accuracy than marker controlled watershed algorithm.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.2
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• pp.118-124
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• 2022

Marine environment analysis and ship motion prediction during ship navigation are important technologies for safe and economical operation of autonomous ships. As a marine environment analysis technology, there is a method of analyzing waves by measuring the sea states through images acquired based on radar(radio detection and ranging) signal. However, in the process of deriving marine environment information from radar images, noises generated by external factors are included, limiting the interpretation of the marine environment. Therefore, image processing for noise removal is required. In this study, image inpainting by partial convolutional neural network model is proposed as a method to remove noises and reconstruct radar images.

• Current Optics and Photonics
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• v.5 no.5
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• pp.524-531
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• 2021

In an integral-imaging microscopy (IIM) system, a microlens array (MLA) is the primary optical element; however, surface errors impede the resolution of a raw image's details. Calibration is a major concern with regard to incorrect projection of the light rays. A ray-tracing-based calibration method for an IIM camera is proposed, to address four errors: MLA decentering, rotational, translational, and subimage-scaling errors. All of these parameters are evaluated using the reference image obtained from the ray-traced white image. The areas and center points of the microlens are estimated using an "8-connected" and a "center-of-gravity" method respectively. The proposed approach significantly improves the rectified-image quality and nonlinear image brightness for an IIM system. Numerical and optical experiments on multiple real objects demonstrate the robustness and effectiveness of our proposed method, which achieves on average a 35% improvement in brightness for an IIM raw image.

• Journal of Fashion Business
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• v.17 no.2
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• pp.117-135
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• 2013

With the growth of mass media, professional baseball teams have strived to keep up team's tradition and individuality and build a distinctive image through sports marketing using visual identity. Among others, a baseball uniform is used as a sports marketing tool more than an uniform. Uniform color acts as a distinctive element in team's uniform design and is effective to raise attention, manifest a positive image to spectators, and increase trust and affinity. This study aims to compare and analyze color characteristics and images of professional baseball uniforms in America, Japan, and Korea as visual identity. For this, literature review was made on the history of baseball, uniforms, sports marketing, and visual identity, and then color characteristics and images were analyzed on professional baseball away uniforms in Korea, America, and Japan collected in Internet and official web sites. The results are as follows. First, for color characteristics of professional baseball uniforms, the most frequently used color was R(V) color in Korea, ltGy color in America, and Bk color in Japan. Second, for color images of professional baseball uniforms, the most frequently used image was a casual image in Korea, a dandy image in America, and a modern image in Japan.