• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.937-940
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• 2020

본 논문은 AI 기술을 기반으로 텍스트 스크립트를 자동으로 인식하고 영상 합성 기술을 응용하여 텍스트 정보를 시각화하는 AI 아나운서 소프트웨어 연구에 대하여 기술한다. 기존의 AI 기반 영상 정보 전달 서비스인 AI 앵커는 텍스트를 인식하여 영상을 합성하는데 오랜 시간이 필요하였으며, 특정 인물 이미지로만 영상 합성이 가능했기 때문에 그 용도가 제한적이었다. 본 연구에서 제안하는 방법은 Tacotron 으로 새로운 음성을 학습 및 합성하여, LRW 데이터셋으로 학습된 모델을 사용하여 자연스러운 영상 합성 체계를 구축한다. 단순한 얼굴 이미지의 합성을 개선하고 다채로운 이미지 제작을 위한 과정을 간략화하여 다양한 비대면 영상 정보 제공 환경을 구성할 수 있을 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.329-332
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• 2022

본 연구에서는 하나의 2D 이미지를 StyleGAN을 통해 다각도의 이미지를 생성하고, 그것을 다시 Kaolin으로 구현한 역그래픽 렌더러의 입력으로 받아 3D 오브젝트로 변환한다. 또한, 클레이튼 기반의 블록체인을 통해 NFT 기술을 통하여 3D 오브젝트를 NFT로 만들 수 있도록 한다. 최종적으로 2D 이미지를 메타버스에서 활용할 수 있는 3D 패션 아이템으로 변환하고 NFT를 발행하여 거래한다. 본 연구는 개인이 자유롭게 메타버스 콘텐츠를 제공하고 거래하여 메타버스 활성화에 기여할 것으로 기대한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.77-78
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• 2024

본 논문에서는 O2O 상점의 자동화에 필수적인 객체 인식 모델의 성능 향상을 목표로, 생성 AI 기술을 이용한 데이터 증강 방법을 제시한다. 제안하는 방법은 텍스트 프롬프트를 활용하여 진열대 상품 이미지를 포함한 다양한 고품질 이미지를 생성할 수 있음을 보인다. 또한, 실제에 더 가까운 상세한 이미지를 생성하기 위한 최적화된 프롬프트를 제안하고, Stable-Diffusion과 DALL-E2의 생성 결과를 통해 비교 분석한다. 이러한 접근 방법은 객체 인식 모델의 성능 향상에 영향을 미칠 것으로 기대된다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.313-332
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• 2014

With the increased creation, distribution, and use of image in context of the development of digital technologies and internet, research endeavors have accumulated drastically. As two dominant aspects of image retrieval have been considered content-based and concept-based image retrieval, concept-based image retrieval has been focused in the field of Library and Information Science. This study aims to systematically review the accumulated research of image retrieval from the perspective of LIS field. In order to achieve the purpose of this study, two data sets were prepared: a total of 282 image retrieval research papers from Web of Science, and a total of 35 image retrieval research from DBpia in Kore for comparison. For data analysis, systematic review methodology was utilized with bibliographic analysis of individual research papers in the data sets. The findings of this study demonstrated that two sub-areas, image indexing and description and image needs and image behavior, were dominant. Among these sub-areas, the results indicated that there were emerging areas such as collective indexing, image retrieval in terms of multi-language and multi-culture environments, and affective indexing and use. For the user-centered image retrieval research, college and graduate students were found prominent user groups for research while specific user groups such as medical/health related users, artists, and museum users were found considerably. With the comparison with the distribution of sub-areas of image retrieval research in Korea, considerable similarities were found. The findings of this study expect to guide research directions and agenda for future.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.343-348
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• 2024

Today, AI image creation programs are optimized for various and specialized purposes such as fashion product advertising, customized fashion style suggestions, and design development, and are actively utilized in the fashion industry. Meanwhile, color is a powerful formative element and plays an important role in expressing images for suggesting products or fashion styles. This study seeks to expand understanding of the use of Midjourney by identifying the characteristics of color combinations that appear in clothing images created using Midjourney among AI image creation tools. The results of this study are as follows. First, the initial image created in Midjourney reflects the existing image color used to create the image more than the color specified in the command. Second, the color combinations that appear in the clothes of the images created in Midjourney are divided into separate and mixed colors. The ratio of colors expressed in a separate color scheme is affected by the color order specified in the command. The number of colors combined in a mixed color scheme appears as a combination of fewer colors than the total number of colors of clothing in the existing image used to create the image in Midjourney and the number of colors specified in the command. Third, caution is needed because changes in background color can affect the user's color perception of the clothes in the image and the formation of the costume image. It is hoped that the results of this study will be helpful in fashion design education and practice.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.237-244
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• 2023

Today, AI is being applied to various industrial fields, leading to a paradigm shift in the overall industry. In the fashion industry, AI is also used to predict trends and provide various services for consumers, and in particular, AI image creation tools have the potential as a tool for fashion design development. This study investigated the possibilities and limitations of using Midjourny for fashion design development by creating images using Midjourney among AI image creation tools and identifying its characteristics. The characteristics of images created in Midjourney are as follows. First, it has the intuitiveness to create images by intuitively applying or combining images corresponding to commands. Second, there is randomness in which different images are generated when the same command is entered at different times. Third, when using existing images and commands together, the image created in Midjourney is more dependent on the existing image than the command. In conclusion, Midjourny's various image creation functions and the ability to change images according to commands can be helpful in developing original fashion designs. However, it is important to note that fashion designs that cannot be worn or made are sometimes presented. It is expected that the results of this study will serve as basic data for the use of AI image creation tools for fashion design development.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.2
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• pp.25-30
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• 2020

The thermal image system was widely used in the defence-related industry because of detect infrared light from the object without light. but, as the demand in the security system and automobile market increases, the civilian industry are expanding to the private sector. There are difficult to apply various requirement because of previous systems are based by FPGA, so it need new system that apply to various requirement. The proposed paper is thermal image processing system using common image processor. It has various requirement and scalable to support image input/output interface and device driver. If it is used to proposed system, it reduce development cost and period than previous system based FPGA. Because there has very high accessibility. In addition, it expect to have satisfaction of customer requirements, development cost, development period, release date of product.

• Science of Emotion and Sensibility
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• v.13 no.2
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• pp.403-412
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• 2010

This study was aimed to consider the influence of hue-tone, dyes, and mordants of naturally dyed silk fabric on color sensibility image factors and to establish color sensibility image scales of naturally dyed silk fabric by color and image descriptors. By single or sequential dyeing with various natural dyes commercially available in domestic and foreign market on the same silk fabric, a total of 66 colored fabric stimuli were prepared and they were used to evaluate subjective color sensibility image by 40 participants. As results, four different color sensibility image factors for naturally dyed silk fabric, 'delight', 'natural', 'modern' and 'attractive' were extracted. All of factors were significantly influenced by hue-tone, dyes, and mordants. Furthermore, by using color sensibility image adjectives and colors, multidimensional image scales were established, which leads to the conclusions that the results of this study help to design color sensibility-oriented naturally dyed fabric and apparel products.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.201-225
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• 2016

A new technique for revealing the research fronts of a interdisciplinary discipline has been developed. Citation image makers profiling (CIMP) determines the relationships between research papers with the title words of the citing documents. We adapted this new technique to analyze the research fronts and hot topics in women's studies of Korea. By Korean Citation Index (KCI) data in 2015, we selected 148 papers cited more than 9 times as the core documents of women's studies. Analysis of intellectual structure using citation image makers profiling was performed with the 148 core documents and those citing papers. Document co-citation analysis was hindered by citation data sparsity, while CIMP method successfully revealed the structure of research fronts of Korean women's studies including 2 divisions and 6 subdivisions. The CIMP method suggested in this study has good potential to discover the characteristics of research fronts of interdisciplinary research domains.