• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.159-172
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• 2017

This study examined the predisposing, enabling and need factors, based on Andersen's behavioral model, affecting intention to use community organizing services at a community welfare center. 725 people aged 20 and older who lived in Gwang-jin-gu participated in this study and multiple linear regression analyses were utilized to analyze the deputation. The results demonstrate that intention to use is primarily affected by predisposing factors, age and duration of education. Female and more educated people were significantly associated with the intention to use community organizing services. Enabling factors, reputation and image of the community welfare center significantly affect intention to use community organizing services. People are more likely to use community organizing services when there is higher reputation of the community welfare center and better image of the community welfare center. Finally, intention to use is primarily affected by welfare consciousness, a need factor. People who have liberal welfare consciousness are more likely to use community organizing services. These findings provide implications and suggestions for increasing intention to use community organizing services at a community welfare center.

• Journal of Information Technology Applications and Management
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• v.27 no.6
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• pp.1-14
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• 2020

Since the birth of animation, the United States has created many classic characters. For example, Mickey Mouse and Minnie, Tom and Jerry, Lion King, and Nemo, which are imaged with animal images, include Snow White, Bell, Mulan, and Aladdin. In addition, there are villain characters designed with strong personality and personality design, such as Snow White's stepmother Grimheel, Ursula, Bad Girl Crew El Radville, Scar, Captain Hook, and so on. These animation characters have been remembered for a long time with stories in people's minds, and have also brought laughter and emotion to people all over the world, which has brought a lot of business value to animation companies. Recently, the villain of American animation works is becoming more and more suited to the taste of the audience. The villain is not a symbolic image of the brutality we have seen before. They are not only visual images with rich and diverse personalities, but are also designed to suit the tastes of the public with a multifaceted inconsistency. They appear as ordinary people in our lives in works, or as powerful people who are not realistic. The villain characters designed in this way are real human miniatures appearing in the relationships in our lives, and they cannot judge good or bad only by their appearance. Through the study of villains in American animation, many villains in American animation were summed up, and villains could be classified into three types: brutal, violent, and sneaky. Based on this, it was possible to analyze the appearance and attire of the villain character in American animation, and to create a vivid and popular image of the villain, it was found that the character of the character should be emphasized when constructing the shape and costume of the villain character. In conclusion, the attractive formation of villain characters is an important part for successful animation. The production of vivid and long-lasting villain characters must begin with detailed settings such as personality, shape, and dress from the planning stage, which is not only the intention of the producer, but also a reflection of the aesthetic psychology that society should pay attention to today.

• Journal of Korea Multimedia Society
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• v.20 no.3
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• pp.446-455
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• 2017

A color image compression based on saliency map was proposed. The proposed method provides higher quality in saliency blocks on which people's attention focuses, compared with non-saliency blocks on which the attention less focuses at a given bitrate. The proposed method uses 3 different quantization tables according to each block's saliency level. In the experiment using 6 typical images, we compared the proposed method with JPEG and other conventional methods. As the result, it showed that the proposed method (Qup=0.5*Qx) is about 3.1 to 1.2 dB better than JPEG and others in saliency blocks in PSNR at the almost similar bitrate. In the comparison of result images, the proposed one also showed less error than others in saliency blocks.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2003.05a
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• pp.183-186
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• 2003

Light is important as to say that it completes space and form. Space that is made by light is not only functional but it can be seen as a place where space and people communicate to each other. Recently mass media is embossed as communication method. Light is the most instant and affluent factor among what consists of the image of space to express sensitivity. Especially the artificial lighting plays an important role in the presentation of space in the mass media with the progress of technology. Therefore this study's purposes are to search how the artificial light present the image of space in the mass media and to suggest alternative methods to present the image with artificial lighting.

• International Journal of Costume and Fashion
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• v.10 no.2
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• pp.51-59
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• 2010

This study regarded fashion selection criteria as clothing consumption value and desired fashion images, and examined selection differences according to regional subculture groups. Clothing consumption value is a direct value that people seek with clothing products and a perceived value which is divided into emotional, social, price, quality values. Fashion image which is a feeling communicated to others by wearing a certain fashion style is the most superficial value. Multivariate Analysis of Variance (MANOVA) was performed to test the differences between regional subculture groups in clothing consumption values and desired fashion images. We found some differences in clothing consumption value specifically in emotional value and social value. The group differences were remarkably significant in fashion image comparison. 'Kang-nam' group pursued 'lively', 'sophisticated', 'charming', feminine', 'gorgeous' image more than 'Kang-buk' group. While 'Kang-buk' group produced lower scores in ideal fashion images, the group had significant higher seeking in 'sportive' image compared to 'Kangnam' group.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.383-387
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• 2010

The stereoscopic three-dimensional (3D) display provides a 3D image by inducing binocular disparity for the observers who wear special glasses. With the rapid progress in flat panel display technologies, the stereoscopic 3D display is becoming a new benefit-model of the current display industry, and several kinds of commercial stereoscopic 3D products have been released and are attracting people. Nowadays, the motion picture quality of the 3D image becomes as important as resolution or luminance since most of the commercial 3D products are 3D televisions or 3D monitors which are required to display a clear motion 3D image. In this paper, an analysis and simulation of the motion picture quality of stereoscopic 3D image is proposed, and a comparison of the motion picture performance among the current stereoscopic 3D technologies is also provided.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.5
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• pp.560-569
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• 2003

The purpose of this study was to investigate the usage condition of avatar, the clothing images of avatars, and the difference of self images among avatar user groups which were clustered by the clothing image of using avatar. Avatars were decorated not only to get personal satisfaction and joyfulness but also to realize the desire of relationship with other people. The clothing images of avatars were classified into 7 factors, which were labeled as cute, mature, sexy, old-fashion, unisex. and unique factors. There were no significant differences in self images among 3 avatar user groups which were clustered by 7 factors of clothing images. The result indicated that avatar users pursued various clothing images for their avatar, however, no significant relations were existed between avatar＇s images and user＇s self images and further studies would be required to find out significant variables which determined avatar＇s clothing images.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1171-1178
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• 2019

This study proposes a deep neural network model based on an encoder-decoder structure for visual dialogs. Ongoing linguistic understanding of the dialog history and context is important to generate correct answers to questions in visual dialogs followed by questions and answers regarding images. Nevertheless, in many cases, a visual understanding that can identify scenes or object attributes contained in images is beneficial. Hence, in the proposed model, by employing a separate person detector and an attribute recognizer in addition to visual features extracted from the entire input image at the encoding stage using a convolutional neural network, we emphasize attributes, such as gender, age, and dress concept of the people in the corresponding image and use them to generate answers. The results of the experiments conducted using VisDial v0.9, a large benchmark dataset, confirmed that the proposed model performed well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2359-2376
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• 2022

With the exponential growth of medical image big data represented by high-resolution CT images(CTI), the high-resolution CTI data is of great importance for clinical research and diagnosis. The paper takes lung CTI as an example to study. Retrieving answer CTIs similar to the input one from the large-scale lung CTI database can effectively assist physicians to diagnose. Compared with the conventional content-based image retrieval(CBIR) methods, the CBIR for lung CTIs demands higher retrieval accuracy in both the contour shape and the internal details of the organ. In traditional supervised deep learning networks, the learning of the network relies on the labeling of CTIs which is a very time-consuming task. To address this issue, the paper proposes a Weakly Supervised Similarity Evaluation Network (WSSENet) for efficiently support similarity analysis of lung CTIs. We conducted extensive experiments to verify the effectiveness of the WSSENet based on which the CBIR is performed.

• Asia Marketing Journal
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• v.18 no.1
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• pp.55-73
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• 2016

With continuous news headlines related to patents in the public media, awareness of patents' value is spreading, and patents are valuable not only to a firm but also to consumers. Therefore, this study makes an effort to explore the theoretical mechanism of the effects of patent infringement litigation (PIL) on customers. More specifically, this study examines the influence of PIL on customer-based brand equity (CBBE) and brand innovation image (BII). Based on this study's findings, PIL's outcomes directly affect BII, which in turn indirectly affects CBBE. That is, people will evaluate a winning brand as a highly innovative brand, which contributes to higher brand equity. However, in regards to PIL's direct effect on CBBE, there are some differences between Apple and Samsung. In the case of Apple, the winner image positively affects only one dimension of CBBE, brand loyalty, while for Samsung, the plaintiff's image negatively affects brand loyalty.