• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.107-120
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• 2023

In this study, we investigate the changes and realities of the content production process focusing on Image generation AI revolutions such as Stable Diffusion, Midjourney, and DELL-E, and examine the current status of related department operations at universities and Find out the status of the current curriculum. Through this, we suggest the need to produce AI-adaptive content talent through re-establishing the capabilities of content-related departments in art universities and quickly introducing curriculum. This is because it can be input into the efficient AI content development system currently being applied in industrial fields, and it is necessary to cultivate talent who can perform managerial and technical roles using various AI systems in the future. In conclusion, we will prepare cornerstone research to establish the university's status as a source of talent that can lead the content industry beyond the AI content production era, and focus on convergence capabilities and experience with the goal of producing convergence talent to cultivate AI adaptive content talent, suggests the direction of curriculum application for value creation.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.85-91
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• 2024

Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.252-263
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• 2016

Road sign is an important street furniture that gives some information such as road conditions, driving direction and condition for a driver. Thus, road sign is a major target of image recognition for self-driving car, ADAS(autonomous vehicle and intelligent driver assistance systems), and ITS(intelligent transport systems). In this paper, an enhanced road sign recognition system is proposed for MMS(Mobile Mapping System) using the single camera and GPS. For the proposed system, first, a road sign recognition scheme is proposed. this scheme is composed of detection and classification step. In the detection step, object candidate regions are extracted in image frames using hybrid road sign detection scheme that is based on color and shape features of road signs. And, in the classification step, the area of candidate regions and road sign template are compared. Second, a Geo-marking scheme for geo-content that is consist of road sign image and coordinate value is proposed. If the serious situation such as car accident is happened, this scheme can protect geographical information of road sign against illegal users. By experiments with test video set, in the three parts that are road sign recognition, coordinate value estimation and geo-marking, it is confirmed that proposed schemes can be used for MMS in commercial area.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.679-687
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• 2013

Currently, we are living in the era of digital media that puts the technologies in front which is called digital. Based on the characteristic of 'de-materialistic', human senses have been extended more than ever and there is no exception on those influences. Even though the existence of media seriously brought the identity and value of the painting into a question after the emergence of analog photos, advent of digital photos are raising the wind of new paradigms and values creation more seriously than ever. Unlike analog photos of the past which go through chemical process, true nature of digital photo goes through the digital process which is represented by 0 and 1. This didn't bring the loss of the original, but rather brought the creation of the copy which excels the original through retouching and consequently, destroyed the traditional value which is referred as an original. Like this, digital photo image has aesthetics and value of existence which is differentiated from analog photo because it has essentially different structures and characteristics with analog photo.

• Cross-Cultural Studies
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• v.33
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• pp.33-52
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• 2013

Haizi, who ended his life with suicide on the railroad at the age of 25, is a poet who implemented his unique poetic world alone without belonging to any of the existing Chinese poetry schools in the 1980s. The process that Haizi reveals self-inside through a poetic work is rather to hide self-inside paradoxically, too. Accordingly, even a work of figuring out the real intention, which is hidden in poetic dictions that he selected, will be meaningful. In this sense, this study tried to inquire into the poetic imagination and self-image that were revealed in poetry focusing on "Spring, Haizi of 10 People", which is a work of having his name as topic, with having been written at the time of suicide, among Haizi's many poetic works. In addition, it figured out Haizi's private conscious world through analyzing the poem titled "Facing the sea with spring blossoms", which was created ahead of death same as "Spring, Haizi of 10 People". Thus, the aim was to look back on significance of his death and to broaden the width of understanding about Haizi's poetry. As for Haizi, the death can be regarded as the completion of 'performance,' which is a kind of Haizi's own final art form. Hence, Haizi's suicide needs to be seen from the perspective dubbed the continuity of creation through this performance, not the discontinuance of creation caused by 'intended death' that the poet himself selected. In the wake of pursuing the poetic world of a gifted poet Haizi, who died early, that this study examined, there will be any poet of Korea who is recalled naturally. One poet will be first recalled Yi Sang, who is a poet and a novelist of having been broadly known. Another poet is overlapped Gi Hyeong-do, who had been active as a poet and a journalist of having been dead after living in the similar period to Haizi. A comparative analysis among works by these Korean and Chinese poets has similarity beyond the temporal space. A research on this is thought to have value of being considered a little more deeply and generally hereafter. Still, this study mentioned only possibility of a comparative research on this.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.2
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• pp.291-298
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• 2022

A generative adversarial network (GAN) is a network in which two internal neural networks (generative network and discriminant network) learn while competing with each other. The generator creates an image close to reality, and the delimiter is programmed to better discriminate the image of the constructor. This technology is being used in various ways to create, transform, and restore the entire image X into another image Y. This paper describes a method that can be forged into another object naturally, after extracting only a partial image from the original image. First, a new image is created through the previously trained DCGAN model, after extracting only a partial image from the original image. The original image goes through a process of naturally combining with, after re-styling it to match the texture and size of the original image using the overall style transfer technique. Through this study, the user can naturally add/transform the desired object image to a specific part of the original image, so it can be used as another field of application for creating fake images.

• The Research Journal of the Costume Culture
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• v.24 no.5
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• pp.642-652
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• 2016

The purpose of this study is to understand the concept of a sexual image and verify the method of its design expression through case studies of the sexual image evening dress shown in an Haute Couture Collection over the last 10 years (2005~2014). The results of analysis are as follows: First, "expression by the seeing through of the natural body" expressed a natural sexual image that combined fashion of the previous times with the beauty of the natural body by using a see-through material and classic or ethnic image. Second, "expression of a sexual-image look that emphasizes romantic detail" illustrated a romantic sexual image that emphasizes feminine sensitivity by mixing various ornamental elements such as see-through material and symbolism of underwear image. Third, "creation of a nude look using skin color" expressed sexual image of an evening dress by inducing erotic sexual association through a combination of opaque material of skin color and design shape that is intended for body exposure. Fourth, "combination of sexual symbol and heterogeneous elements" expressed a decadent, avant-garde and futuristic sexual images by using women's underwear and a sexual symbol as design motif and mixed with mismatching elements. Fifth, "use of a fantastic black image" expressed an exclusive and refined sexual image and a decadent and primitive sexual image by using a fantastic image of black color. The results of this study are expected to be used for the design process of the evening-dress industry that aims for quality improvement.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.1
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• pp.11-21
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• 2015

An Ortho-image is the production of removed geometrical displacement, which is generated the aerial image distortion and the relief displacement, etc., using the DSM (Digital Surface Model). Accordingly, the resolution of raw image and the accuracy of DSM will has significant impacts on the ortho-image accuracy. Since the latest DMCII250 aerial camera delivers the high resolution images with five centimeters Ground Sampling Distance(GSD), it expects to generate the high density point clouds and the high quality ortho-images. Therefore, this research has planned for reviewing the potentiality and accuracy of high quality ortho-image production. Following to proceed the research, DSM has been produced through the high density point cloud extracted from DMCII250 aerial image to supply of high density DSM by creation of ortho-image. The research results has been identified that images with the DSM brought out higher degrees in positional accuracy and quality of ortho-image, compared with the ortho-image, produced from the existing digital terrain map or DSM data.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1634-1637
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• 2003

Any given object on the motor-driven turntable is pictured from 8 to 72 different views with a digital camera. 3D shape reconstruction is performed with the integrated software called by Scanware from these multiple digital photographs. There are several steps such as configuration, calibration, capturing, segmentation, shape creation, texturing and merging process during the shape reconstruction process. 3D geometry data can be exported to cad data such as Autocad input file. Also 3D image model is generated from 3D geometry and texture data, and is used to advertise the model in the internet environment. Consumers can see the object realistically from wanted views by rotating or zooming in the internet browsers with Scanbull spx plug-in. The spx format allows a compact saving of 3D objects to handle or download. There are many types of scan equipments such as laser scanners and photogrammetric scanners. Line or point scan methods by laser can generate precise 3D geometry but cannot obtain color textures in general. Reversely, 3D image modeling with photogrammetry can generate not only geometries but also textures from associated polygons. We got various 3D image models and introduced the process of getting 3D image model of an internet-connected watchdog robot.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.1
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• pp.33-38
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• 2013

In this paper, we propose an algorithm to track multi-small targets in infrared image sequences in case of dissipation or creation of targets by using the background estimation filter, Kahnan filter and mean shift algorithm. We detect target candidates in a still image by subtracting an original image from an background estimation image, and we track multi-targets by using Kahnan filter and target selection. At last, we adjust specific position of targets by using mean shift algorithm In the experiments, we compare the performance of each background estimation filters, and verified that proposed algorithm exhibits better performance compared to classic methods.