• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.3
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• pp.73-82
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• 2010

The purpose of this study is to help understanding of fashion trend since 2000 years, to play a guideline's role in the development on fashion designs study. The methods of this study are the study of academic literatures as well as practical study through expert investigation and analysis of case studies about actual works. Fashion trends since 2000 years are summarized classic, sporty, elegance, ethnic, natural, romantic, vintage, futurism by expert investigation and analysis of case studies about actual works. Image of fashion trends are abstracted that Classic image is harmony, moderation, accuracy, completeness, neatness, manish from keep an archetype to eliminate additional things, Sporty image is daily, active, enjoyment by the pursuit of a movement and freedom, Elegance image is feminine, grace from the tender moderated and feminity, Ethnic image is folkway, handicraft, vernacular to keep national character, local folkways and traditional ways. Natural image is nature, peaceful, purity, pastoral to the exclusion of artificiality and revert to natural, Romantic image is sensibility, fantastic, ornament, splendid from facing ideal world getting out of the reality, Vintage image is cozy, old, disorder, faden, freedom by expressing the flow of time and the mature beauty, Futurism image is future, experimental, avant-garde, man-made from positive perspective on future.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.2
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• pp.526-536
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• 2017

This study intended to understand similarity of image between games and position of image attribute perceived by consumers according to the games of marine sports using MDS (Multidimensional Scaling). Through the foregoing, this study aims to provide preliminary data for establishing marketing strategies for games of marine sports by accurately understanding images of marines sports perceived by consumers. For survey targets, this study selected students of K University located in Gyeonggi-do as a population, and extracted samples using convenience sampling out of non-probability sampling methods targeting 200 students who showed intention of participation in this study, and total 188 sheets of questionnaire were used as final data excepting 12 sheets that are filled up unfaithfully or considered unreliable. For data processing, this study conducted Frequency Analysis, Descriptive Statistical Analysis, Reliability Analysis, MDS (Multidimensional Scaling) and Multiple Regression Analysis, and study results show that water ski and wakeboard(.602) have the most similar image attribute, indicating that image attributes of scuba diving and water ski(2.031) are positioned farthest with each other. As for image attribute, image attribute of water ski has appearance and progressiveness, windsurfing has an image attribute of positive, scuba diving has an image attribute of negation, and marin rafting has an image attribute of friendliness.

• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1786-1797
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• 2010

Automatic understanding of contents in document image is a very hard problem due to involvement with mathematically challenging problems originated mainly from the over-determined system induced by document segmentation process. In both academic and industrial areas, there have been incessant and various efforts to improve core parts of content retrieval technologies by the means of separating out segmentation related issues using semi-structured document, e.g., invoice,. In this paper we proposed classification models for text lines on invoice document in which text lines were clustered into the five categories in accordance with their contents: purchase order header, invoice header, summary header, surcharge header, purchase items. Our investigation was concentrated on the performance of machine learning based models in aspect of linear-discriminant-analysis (LDA) and non-LDA (logic based). In the group of LDA, na$\"{\i}$ve baysian, k-nearest neighbor, and SVM were used, in the group of non LDA, decision tree, random forest, and boost were used. We described the details of feature vector construction and the selection processes of the model and the parameter including training and validation. We also presented the experimental results of comparison on training/classification error levels for the models employed.

• Applied Microscopy
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• v.37 no.3
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• pp.199-208
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• 2007

We have made an optical device to study the wave optics phenomena, such as image and diffraction pattern, constructive and destructive interference, by direct operation of laser beam and optical lenses. It consists of laser beam, goniometer, objective lens, intermediate lens, projection lens, CCD system, and computing system. As a result of the performance test, we were able to magnify samples up to 44 times with the resolution of about $5{\mu}m$. It is expected to help EM users understanding more easily principles of transmission electron microscopy (TEM).

• Proceedings of the Costume Culture Conference
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• 2004.10a
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• pp.125-127
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• 2004

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3599-3608
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• 2014

This paper discusses the cognitive function of the image, focusing on the thought-evoking function of the image. Collages artworks were developed to determine how specifically the thought-evoking function of an image takes effect in actual cases. In addition, the cognitive responses of the research participants on the image were analyzed, centering on the thought-evoking function of the image, through an in-depth interview. The image performs the function to concentrate attention on a specific object and to process it more thoroughly. The image increases the immersion of the participants, evoked thought and activated conversation. This study probed the cognitive function of the image and is expected to greatly expand our understanding of human cognition. In particular, it is expected to provide useful insight into the integration of science and art.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.303-308
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• 2018

In copyright rights of the digital image, copyright holders need to protect copyrights and improve the improvement of copyright laws through accurate understanding of copyright laws, and also to improve the effectiveness of copyright rights of copyright holders and the effectiveness of users' rights. First of all, the scope of the study is based on the case of recognition of the scope of the identity of the same scope and the copyright on the copyright law of the digital image, and the application of the image of the image of the image-writing image and the use of image artifacts based on the image copyright classification system suitable for the user's application.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.7
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• pp.498-506
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• 2003

A computer vision system applied to an intelligent safety vehicle has been required to be worked on a small sized real time special purposed hardware not on a general purposed computer. In addition, the system should have a high reliability even under the adverse road traffic environment. This paper presents a design and an implementation of an onboard hardware system taking into account for high speed image processing to analyze a road traffic scene. The system is mainly composed of two parts: an early processing module of FPGA and a postprocessing module of DSP. The early processing module is designed to extract several image primitives such as the intensity of a gray level image and edge attributes in a real-time Especially, the module is optimized for the Sobel edge operation. The postprocessing module of DSP utilizes the image features from the early processing module for making image understanding or image analysis of a road traffic scene. The performance of the proposed system is evaluated by an experiment of a lane-related information extraction. The experiment shows the successful results of image processing speed of twenty-five frames of 320$\times$240 pixels per second.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.10
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• pp.957-966
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• 2014

Video Stabilization For Vehicular Applications Is An Important Method Of Removing Unwanted Shaky Motions From Unstable Videos. In This Paper, An Improved Video Stabilization Method With Image Stitching Has Been Proposed. Scale Invariant Feature Transform (Sift) Matching Is Used To Calculate The New Position Of The Points In Next Frame. Image Stitching Is Done In Every Frame To Get Stabilized Frames To Provide Stable Video As Well As A Better Understanding Of The Previous Frame'S Position And Show The Surrounding Objects Together. The Computational Complexity Of Sift (Scale-Invariant Feature Transform) Is Reduced By Reducing The Sift Descriptors Size And Resticting The Number Of Keypints To Be Extracted. Also, A Modified Matching Procedure Is Proposed To Improve The Accuracy Of The Stabilization.

• Korean Institute of Interior Design Journal
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• no.16
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• pp.182-189
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• 1998

The existential space concept which introduced the sense of place that began emerging recently together with the change of space concept results from people's fundamental existential humane aspect as the subject of perceptive experience. The tendencies of enlargement layering and diversification which we can see in contemporary architecture imply the possibility that elements of urban image can be incorporated into interior design. This study utilizes Kevin Lynch's theory which tries to relate environment to existential space. In this study we re-analyze and apply Lynch's $\ulcorner$the Theory of Urban Image$\lrcorner$to interior space and using the conclusion from a case study examine the applicability of the theory about visual perception to interior design. This study considers a new method of analysis to perceive and grasp interior space through the understanding of the cognitive map and image concept.