• Cartoon and Animation Studies
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• s.51
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• pp.391-411
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• 2018

The purpose of this thesis is to examine ontology of digital photo image based on a Simulacre concept of Gilles Deleuze & Jean Baudrillard. Traditionally, analog image follows the logic of reproduction with a similarity with original target. Therefore, visual reality of analog image is illuminated, interpreted, and described in a subjective viewpoint, but does not deviate from the interpreted reality. However, digital image does not exist physically but exists as information that is made of mathematical data, a digital algorithm. This digital image is that newness of every reproduction, that is, essence of subject 'once existing there' does not exist anymore, and does not instruct or reproduce an outside target. Therefore, digital image does not have the similarity and does not keep the index instruction ability anymore. It means that this digital image is converted into a virtual area, and this is not reproduction of already existing but display of not existing yet. This not-being of digital image changes understanding of reality, existence, and imagination. Now, dividing it into reality and imagination itself is meaningless, and this does not make digital image with technical improvement but is a new image that is basically completely different from existing image. Eventually, digital image of the day passes step to visualize an existent target, nonexistent things have been visualized, and reality operates virtually. It means that digital image does not reproduce our reality but reproduces other reality realistically. In other words, it is a virtual reproduction producing an image that is not related to a target, that is to say Simulacre. In the virtually simulated world, reality has an infinite possibility, and it is not a picture of the past and present and has a possibility as the infinite virtual that is not fixed, is infinitely mutable, and is not actualized yet.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.341-348
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• 2020

The ability to extract useful information from an image, such as the human eye, is an interface technology essential for AI computer implementation. The building recognition technology has a lower recognition rate than other image recognition technologies due to the various building shapes, the ambient noise images according to the season, and the distortion by angle and distance. The computer vision based building recognition algorithms presented so far has limitations in discernment and expandability due to manual definition of building characteristics. This paper introduces the deep learning CNN (Convolutional Neural Network) model, and proposes new method to improve the recognition rate even by changes of building images caused by season, illumination, angle and perspective. This paper introduces the partial images that characterize the building, such as windows or wall images, and executes the training with whole building images. Experimental results show that the building recognition rate is improved by about 14% compared to the general CNN model.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.5
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• pp.17-25
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• 2019

In this paper, we introduce the technology to convert a single human image into a fashion show animation video clip. The technology can help the customers confirm the dynamic fitting result when combined with the virtual try on technique as well as the interesting experience to a normal person of being a fashion model. We developed an extended technique of full human 2D to 3D inverse modeling based on SMPLify human body inverse modeling technique, and a rigged model animation method. The 3D shape deformation of the full human from the body model was performed by 2 part deformation in the image domain and reconstruction using the estimated depth information. The quality of resultant animation videos are made to be publically available for evaluation. We consider it is a promising approach for commercial application when supplemented with the post - processing technology such as image segmentation technique, mapping technique and restoration technique of obscured area.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2409-2414
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• 2009

Hosting the contest in the way of total marketing systems is one of means for host's purpose achievement. So in the research, the improvement of company image by contest will need feature of participant, host and the interested parties. As the 6 factors such as reliability, contribution etc. about Korail image would be driven. We suggest the host must present a intent and purpose of contest, and the development of program that company image improves would be needed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.871-879
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• 2020

Perceptual Ad-Blocking is a new advertising blocking technique that detects online advertising by using an artificial intelligence-based advertising image classification model. A recent study has shown that these Perceptual Ad-Blocking models are vulnerable to adversarial attacks using adversarial examples to add noise to images that cause them to be misclassified. In this paper, we prove that existing perceptual Ad-Blocking technique has a weakness for several adversarial example and that Defense-GAN and MagNet who performed well for MNIST dataset and CIFAR-10 dataset are good to advertising dataset. Through this, using Defense-GAN and MagNet techniques, it presents a robust new advertising image classification model for adversarial attacks. According to the results of experiments using various existing adversarial attack techniques, the techniques proposed in this paper were able to secure the accuracy and performance through the robust image classification techniques, and furthermore, they were able to defend a certain level against white-box attacks by attackers who knew the details of defense techniques.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.849-857
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• 2023

Volumetric Studio is catalyzing the expansion of the XR content market. Consequently, there is a rising demand for in-depth research on volumetric capture technology. This research delves into the methodology and outcomes of capturing dancers' movements in the form of 3D video images. Furthermore, this research examines the practical applications of volumetric capture technology by assessing the infrastructure and operational workflow of the studio specializing in this domain, aiming to derive significant findings. Notably, this research highlights constraints associated with video image distortion and extended rendering durations within Volumetric Studio system.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.635-648
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• 2020

The purpose of this study was to identify the effects of image of nurse, clinical performance, and major satisfaction of nursing students on their nursing professionalism. The subjects of this study were 303 sophomores and juniors majoring in nursing in G city, who were surveyed between October 15 and 19, 2018. The collected data were analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis. According to the results, nursing professionalism showed a significant positive correlation with image of nurse (r=.70, p<.001), clinical performance (r=.23, p<.001), and major satisfaction (r=.62, p<.001), clinical performance had a positive correlation with image of nurse (r=.14, p=.015), and major satisfaction had a positive correlation with image of nurse (r=.55, p<.001) and clinical performance (r=.14, p=.012). Factors affecting nursing professionalism included major satisfaction (β=.32, p<.001), social image (β=.31, p<.001), professional image (β=.21, p<.001), and clinical performance (β=.09, p=.018), in order, with 59.9% explanation power. To establish positive nursing professionalism in nursing students, it is necessary to develop a variety of systematic educational programs to enhance their image of nurse, major satisfaction, and clinical performance.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.23-30
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• 2014

Feature matching using image descriptors is robust method used recently. However, mismatches occur in 3D transformed images, illumination-changed images and repetitive-pattern images. In this paper, we observe that there are a lot of mismatches in the images which have repetitive patterns. We analyze it and propose a method to eliminate these mismatches. MDMF(Multiple Descriptors-based Mismatch Filtering) eliminates mismatches by using descriptors of nearest several features of one specific feature point. In experiments, for geometrical transformation like scale, rotation, affine, we compare the match ratio among SIFT, ASIFT and MDMF, and we show that MDMF can eliminate mismatches successfully.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.119-124
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• 2018

The augmented reality(AR) technology enables to acquire various image information at the same time by combining virtual image information with the user's viewpoint. These AR technologies have been used to visualize patients' organs and tissues during surgery and diagnosis in the fields of Image-Guide Operation, Surgical Training, and Image Diagnosis by medical convergence, and provides the most effective surgical methods. In this paper, we study the technical features and application methods of each element technology for medical fusion of AR technology. In the AR technology for medical convergence, display, marker recognition and image synthesis interface technology is essential for efficient medical image. Such AR technology is considered to be a way to drastically improve current medical technology in the fields of image guide surgery, surgical education, and imaging diagnosis.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.449-456
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• 2011

The purpose of this study was to examine the change of Korean image, product image, purchase intention and revisit intention after successful results in the global sport event. A group of intercollegiate students were selected using the purposive sampling method for the study. Statistical methods were used for enhancing validity and reliability for this paper such as t-test, regression analysis, reliability analysis, frequency analysis, descriptive analysis and confirmatory factor analysis. The statistical package programs for this research were SPSS(ver. 12.0) and AMOS (ver. 7.0). The conclusion of this research were; (1) There are significant differences in factors such as Korean image, product image, purchase intention and revisit intention before and after the global sport events. (2) There are significant differences in factors before and after the global sport events when two groups were separated in terms of event involvements.