• Smart Media Journal
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• v.2 no.1
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• pp.31-36
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• 2013

A robust and efficient text extraction is very important for an accuracy of Optical Character Recognition (OCR) systems. Natural scene images with degradations such as uneven illumination, perspective distortion, complex background and multi color text give many challenges to computer vision task, especially in text extraction. In this paper, we propose a method for extraction of the text in signboard images based on a combination of mean shift algorithm and weighting scheme of hue and saturation in HSI color space for clustering algorithm. The number of clusters is determined automatically by mean shift-based density estimation, in which local clusters are estimated by repeatedly searching for higher density points in feature vector space. Weighting scheme of hue and saturation is used for formulation a new distance measure in cylindrical coordinate for text extraction. The obtained experimental results through various natural scene images are presented to demonstrate the effectiveness of our approach.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.91-97
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• 2009

This paper proposes novel FE-CBIRS that finds best position of a cut to be retrieved based on color feature distribution in digital contents of IPTV. Conventional CBIRS have used a method that utilizes both color and shape information together to classify images, as well as a method that utilizes both feature information of the entire region and feature information of a partial region that is extracted by segmentation for searching. Also, in the algorithm, average, standard deviation and skewness values are used in case of color features for each hue, saturation and intensity values respectively. Furthermore, in case of using partial regions, only a few major colors are used and in case of shape features, the invariant moment is mainly used on the extracted partial regions. Due to these reasons, some problems have been issued in CBIRS in processing time and accuracy so far. Therefore, in order to tackle these problems, this paper proposes the FE-CBIRS that makes searching speed faster by classifying and indexing the extracted color information by each class and by using several cuts that are restricted in range as comparative images.

• Archives of design research
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• v.15 no.3
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• pp.167-180
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• 2002

This study investigates effective ways to help users form a correct mental model of the hierarchical information space (HIS) in small display. The focus is the effect of color cue on understanding the structure and navigating the information space. The concept of color space (CS) corresponds well to the HIS - one color has a unique position in the CS as a piece of information does in HIS. In this study, we empirically examined two types of color cue, namely, categorical and depth cue. Hue was used as a categorical cue and tone was used as a depth cue. In our experiment, we evaluate the effectiveness of the color cues in the mobile internet system. Subjects were asked to perform four searching tasks and four comparison tasks. The results of experiment reveal that the categorical cues significantly improve the user's mental model whereas decrease navigation performances. The depth cues cannot aid in understanding the HIS as well as improve navigation performances. This study concludes with limitations of the study and descriptions of future studies.

• Korean Institute of Interior Design Journal
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• v.22 no.3
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• pp.195-204
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• 2013

Today, the children's museum evolved from place of exhibition for seeing and feeling, to that of exhibition for searching and touching, or so-called the hands-on exhibition. This will allow for grabbing the interest from children and provide an opportunity for learning by an actual experience at this intellectual and benign environment. But in this modern society that constantly undergoes evolution even as we speak, it is not an easy task to bring our children to museums, because they are vastly exposed to various media. Moreover, if the children who visited museums carelessly bypass the specific areas intended for exhibition, the educational purpose of "enhanced learning effect with hands-on experience" is easily underachieved. According to children's visual stimuli, their behavioral charactoristics are appeared to freewill curiosity but they show shorter elapsed time(impermanence), intensity(stubbornness), frequent occurrence(frequentness) and changeable (translatability). So, We need Improvement of visual image affordance through the measurement of stay time. Firstly, five factors are extracted by factor analysis on twenty questions based on visual image factors; Color accessability and Satistaction(factor1), brightness and color harmony(factor2), feeling on harmonization of color and stay time(factor3), simplex & complex of space(factor4), feeling on scale(factor5) Secondly, the following result are derived through a distribution chart on an exhibition room of K-museum. As shown above, this study based on various analyzed aspects proposes the directions of a color image plan to improve stay time in exhibition space of children museums with a hope to support educational goals of experience education-focused children museums.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.79-82
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• 2015

Bag of visual words(BoVW) is one of the image classification and retrieval methods, using feature point that automatical sorting and searching system by image feature vector of data base. The existing method using feature point shall search or classify the image that user unwanted. To solve this weakness, when comprise the words, include not only feature point but color information that express overall mood of image or texture information that express repeated pattern. It makes various searching possible. At the test, you could see the result compared between classified image using the words that have only feature point and another image that added color and texture information. New method leads to accuracy of 80~90%.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.2
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• pp.38.3-38.3
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• 2019

We present newly discovered dwarf galaxy candidates in deep wide-field images of NGC 1291 obtained with KMTNet. We identify 15 dwarf galaxy candidates by visual inspection within the virial radius of NGC 1291. Using imaging simulations, we demonstrate that our imaging data is complete up to 26 mag arcsec^-2 or -10 abs.mag with > 70% of the completeness rate. We also apply automated detection method to find the dwarfs. However, the completeness and the reliability are relatively low compared to the visual inspection. We find that structural and photometric properties of dwarf candidates such as effective radius, central surface brightness, Sérsic index, and absolute magnitude appear to be consistent with those of known dwarf galaxies in nearby groups and clusters, except for color. NGC 1291, residing in a relatively isolated environment, tends to accompany bluer dwarf galaxies (≃0.58) than those in denser environment. It shows that the quenching of dwarfs is susceptible to the environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2807-2814
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• 2011

This paper proposes an identification algorithm that detects detrimental digital video contents based on the color space features. In this paper, discrimination algorithm based on a 2-Dimensional Projection Maps is suggested to find targeted video images. First, 2-Dimensional Projection Maps which is extracting the color characteristics of the video images is applied to extract effectively detrimental candidate frames from the videos, and next estimates similarity between the extracted frames and normative images using the suggested algorithm. Then the detrimental candidate frames are selected from the result of similarity evaluation test which uses critical value. In our experimental test, it is suggested that the results of the comparison between the Color Histogram and the 2-Dimensional Projection Maps technique to detect detrimental candidate frames. Through the various experimental data to test the suggested method and the similarity algorithm, detecting method based on the 2-Dimensional Projection Maps show more superior performance than using the Color Histogram technique in calculation speed and identification abilities searching target video images.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.1
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• pp.53.1-53.1
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• 2016

With the official start of the operations of the three 1.6 m KMTNet telescope systems from 2015 October, we have initiated a program named KMTNet Supernova Program (KSP) from 2015 to 2019 aiming at searching for supernovae (SNe), other optical transients and related sources. Taking advantage of the 24-hour coverage, high cadence and multi-color monitoring observations, this is optimal for discovering early SNe and peculiar ones. From the start of the previous test observing runs of ~half a year, we have performed observations on several nearby galaxy groups and nearby galaxies with short separations on the sky. We have developed data reduction/variable object search pipelines, meanwhile we have discovered some interesting transient objects. We also stacked all the images for given fields, searched for new objects/galaxies, and discovered several new dwarf galaxies, e.g., in the NGC 2784 galaxy group field (H. S. Park et al.'s talk). We will report the current project status and the results obtained.

• Journal of the Korean Institute of Landscape Architecture
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• v.32 no.2
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• pp.55-67
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• 2004

This study aims to analyze the actual state, the satisfaction index, and the satisfaction factor of the residents in the apartment adopting thematic outdoor rest space design. This study also proposes the basic data for the standard of resident-centered rest space design, not designer-centered or fashion-followed design. The results are as follows : First, most residents use near by rest space, and more use occur during the evenings; 17 hr. ∼ 21 hr. Most of residents use the rest space with their children, partner, or family. Residents usually take walks and take a rests in the rest space. Most residents use the rest space quietly. Of the rest facilities in the outdoor rest space, benches are most used, walks and pergolas are more frequently used. But waterscape facilities are not particularly used. The satisfaction index of the outdoor rest space is generally low. However, the satisfaction index of the rest space and facilities type shows that the evaluation of rest facilities(e.g. benches) is high. The satisfaction index of the decoration shows that the evaluation for the color and design of facilities is high. In the satisfaction index of the physical environment, the item about the size of rest space is highly appreciated. In the mental satisfaction index of the rest space, the item about whole atmosphere is highly appreciated. Of the factors affecting the general satisfaction index with outdoor rest space, the factor of physical environment is the most important independent-variable. Physical environment and facilities are more important influential factors than the atmosphere of outdoor rest space. In the future, the practical study searching for the preferences of the residents and the activation of use should be preceded.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.502-507
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• 2009

We present a real-time photomosaics method for small image set optimized by feature selection method. Photomosaics is an image that is divided into cells (usually rectangular grids), each of which is replaced with another image of appropriate color, shape and texture pattern. This method needs large set of tile images which have various types of image pattern. But large amount of photo images requires high cost for pattern searching and large space for saving the images. These requirements can cause problems in the application to a real-time domain or mobile devices with limited resources. Our approach is a genetic feature selection method for building an optimized image set to accelerate pattern searching speed and minimize the memory cost.