• The Journal of the Korea Contents Association
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• v.6 no.2
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• pp.44-50
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• 2006

This study has proposed a method of content-based image retrieval using object region in order to overcome disadvantages of existing color histogram methods. The existing color histogram methods have a weak point of reducing accuracy, because these have both a quantization error and an absence of spatial information. In order to overcome this problem, we convert a color information to a HSV space, quantize hue factor being pure color information, and calculate histogram. And then we use hue for retrieval feature that is robust in brightness, movement, and rotation. To solve the problem of the absence of spatial information, we select object region in terms of color feature and region correlation. And we use both the edge and the DC in the selected region for retrieving. As a result of experiment with 1,000 natural color images, the proposed method shows better precision and recall than the existing methods.

• Korean Journal of Human Ecology
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• v.13 no.1
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• pp.173-183
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• 2004

The techno fashion presents the new formative beauty of fashion with a stream of light and dynamic phenomenon on human body. Also it opens the futurism arising from the combination of technology with fashion. The purpose of this paper was to investigate the internal trend and external form that techno-fashion aims at, and to analyze the expressive characteristics in design. The results were as follows. ${\cdot}$ The techno fashion created the new formative artifact through the dismantlement and reorganization of form. ${\cdot}$ The techno fashion used the composition of the geometrical abstraction as an expression of beauty symbolizing the modernity. ${\cdot}$ The techno fashion created the diverse colors by using the light along with colors of gold, silver, metal, intense fundamental colors, and artificial rotor. ${\cdot}$ The techno fashion expressed the dynamism, brilliance, youthfulness, futuristic image by using the sense of dazzling brightness by means of metal. ${\cdot}$ The techho fashion along with the development of science and technology made the atmosphere of silhouette of clothes different by expanding the category of materials more widely, together with the possibility of continual emergence of new material. ${\cdot}$ The techno fashion expressed the dynamic movement on clothes and gave the sense of periodical rhythm by the reflective action of light when they were clad. ${\cdot}$ The techno fashion grafted wearable technology into the fashion and made the information instruments recognized as a concept of clothes. ${\cdot}$ The techno fashion pursued the values of not only the beauty of the simple geometrical design, but also the values of functionality and expressed the image of high quality of life through the harmony of technology with human.

• Journal of Korea Multimedia Society
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• v.3 no.4
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• pp.380-388
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• 2000

In computing the optical flow, Horn and Schunck's method which is a representative algorithm is based on differentiation. Therefore it is difficult to estimate the velocity for a large displacement by this algorithm. In this paper, we propose a method for estimating nonuniform motion from sequential images which is based on integral brightness constancy constraints. The equations which transform a source image to a target image are expressed as a function of the displacement field. If marginal effects can be neglected, the form of the transformation integral transform or orthogonal expansion can be determined from the expansion coefficients of the two images. The apparent displacement field is then computed iteratively by a projection method which utilities the functional derivatives of the linearized moment equations. We demonstrate that the performance of the orthogonal function transform on the data set of large motion.

• Journal of Broadcast Engineering
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• v.21 no.5
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• pp.749-759
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• 2016

As image contents in broadcasting have been created in HDTVs and monitors have been commercialized, facial expression of objects in broadcasting lighting has become a very significant task. Figure modeling of objects in HDTVs requires smoother and cleaner video images owing to the expansion of precision of image expression by light. Lighting methods that enlighten characters in the digital generation have come to require a new change. Character modeling methods used on expression features of underlight are receiving attention for aesthetic expression of figures in HD images. Accordingly, the influence of underlight light source intensity, distance, and size on character modeling characteristics was experimentally measured and comparatively analyzed. The experiment results show that good results can be obtained only when the intensity is 17%∼25.5% in contrast to total brightness, distance is beyond 40cm, and the size is at least 20cm, to exhibit the optimum effect of underlight. This data will become material with high usage to gain smoother and cleaner images of characters in future high-quality images.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.1
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• pp.415-439
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• 2014

The purpose of this study is to analyze mobile web accessibility of public libraries. To achieve this, accessibility checklists were driven from mobile web and application guidelines. The study also conducted automatic and manual evaluations. As results, the study found that text alternatives for resource image, main menu, image for text contents were mainly missing. In addition, focus for retrieval, operating system accessibility for retrieval, and id & password label, color difference for library calendar and seat reservation, brightness difference for main manu and resource display, and space between controls for retrieval were mainly missing. The study also suggested focal missing areas for main library services. It will be utilized as checklists for development of mobile services.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.129.1-129.1
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• 2011

We have applied an advanced multi-aperture indexing photometry and sophisticated de-trending method to existing Taiwanese-American Occultation Survey (TAOS) data sets. TAOS, a wide-field ($3^{\circ}{\times}3^{\circ}$) and rapid photometry (5Hz) survey, is designed to detect small objects in the Kuiper Belt. Since TAOS has fast and multiple exposures per zipper mode image, point spread function (PSF) varies in a given image. Selecting appropriate aperture among various size apertures allows us to reflect these variations in each light curve. The survey data turned out to contain various trends such as telescope vibration, CCD noise, and unstable local weather. We select multiple sets of stars using a hierarchical clustering algorithm in such a way that the light curves in each cluster show strong correlations between them. We then determine a primary trend (PT) per cluster using a weighted sum of the normalized light curves, and we use the constructed PTs to remove trends in individual light curves. After removing the trend, we can get each synthetic light curve of star that has much higher signal-to-noise ratio. We compare the efficiency of the synthetic light curves with the efficiency of light curves made by previous existing photometry pipelines. Our photometric method is able to restore subtle brightness variation that tends to be missed in conventional aperture photometric methods, and can be applied to other wide-field surveys suffering from PSF variations and trends. We are developing an analysis package for the next generation TAOS survey (TAOS II) based on the current experiments.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.57-66
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• 2011

In this paper, it is proposed for algorithm to detect human efficiently using a edge symmetry and gradient directional characteristics in realtime by the feature extraction in a single input image. Proposed algorithm is composed of three stages, preprocessing, region partition of human candidates, verification of candidate regions. Here, preprocessing stage is strong the image regardless of the intensity and brightness of surrounding environment, also detects a contour with characteristics of human as considering the shape features size and the condition of human for characteristic of human. And stage for region partition of human candidates has separated the region with edge symmetry for human and size in the detected contour, also divided 1st candidates region with applying the adaboost algorithm. Finally, the candidate region verification stage makes excellent the performance for the false detection by verifying the candidate region using feature vector of a gradient for divided local area and classifier. The results of the simulations, which is applying the proposed algorithm, the processing speed of the proposed algorithms is improved approximately 1.7 times, also, the FNR(False Negative Rate) is confirmed to be better 3% than the conventional algorithm which is a single structure algorithm.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.3 s.37
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• pp.3-11
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• 2006

The need for edge detection about topography data from the high resolution satellite imagery is happening with increasing frequency according to many people utilize the its imagery as various fields recently. Many experts is recognizing of other GIS will make use of the road detection from the high resolution satellite imagery, including ITS (Intelligent Transportation Systems) and urban planning. This paper is comparative analysis of LPF (Low Pass Filtering) and HPF (High Pass Filtering) for roads edge detection from high resolution satellite imagery. As a result, LPF and HPF can be highlight selective pixels at edge area about input data. In case or applying to other techniques such as LPF for the same purpose, they aye more effective for wide road width which often cause the slight distortion of boundary or overall change of brightness values on the whole Image. Whereas, HPF has ability to enhance selectively detailed components in a target image.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.7-22
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• 2016

While the period of 40 million smart phone users begins, mobile game has spread and evolved as quick as popularization of smart phone. Therefore, this study is written to help the improvement of a graphic image on a development of a game for a qualitative growth of a game market, and is to suggest a guideline of tone by genres, by measuring image or feeling of game genre targeting game users. As a result of study, more than 50% of adjectives game users wrote by genres corresponded. It means that tone game users prefer is relatively clear. Therefore, the researcher confirmed that it is possible to attempt the standardization of tome about genre, and suggested 3 kinds of tone and brightness of color by genres. The researcher hopes that this result of the study will help smooth color plan on a development of smart phone game, and that more diverse studies will be proceeded for a qualitative growth of a game market arriving at puberty.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.555-562
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• 2012

This paper presents a hybrid method for improving the recognition performance, which is based on the nonlinear histogram equalization, features extraction, and statistical correlation of images. The nonlinear histogram equalization based on a logistic function is applied to adaptively improve the quality by adjusting the brightness of the image according to its intensity level frequency. The statistical correlation that is measured by the normalized cross-correlation(NCC) coefficient, is applied to rapidly and accurately express the similarity between the images. The local features based on independent component analysis(ICA) that is used to calculate the NCC, is also applied to statistically measure the correct similarity in each images. The proposed method has been applied to the problem for recognizing the 30-face images of 40*50 pixels. The experimental results show that the proposed method has a superior recognition performances to the method without performing the preprocessing, or the methods of conventional and adaptively modified histogram equalization, respectively.