• Journal of Fashion Business
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• v.12 no.6
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• pp.93-106
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• 2008

The purpose of this study is to analyze design characteristics of Chanel bags by its type and shape, material, color, pattern, decorations in order to give information about foundation of the development of Korean fashion brand handbags and help suggest predict future handbag trends. The methods of this study are documentary research and demonstrative research. For the documentary research, mainly previous researches and fashion related data were used. For the demonstrative research, the total of 288 design photos of Chanel bag were selected from 2001 S/S season to 2008 F/W season fashion collections of firstview.com., style.com., and mode et mode. The results of this study are as follows; First, type and shape of bags are clutch(30%), flap(25%), shoulder(25%), others(10%), tote(5%), hobo(5%). Second, the material data shows that leather(46%), mixed(18%), fabric(17%), synthetics (10%), patent(3%), others(3%), and suede(2%). Third, the patterns are geometrical(27%), solid(25%), combination(24%), symbolic(11%), abstract(11%), nature(2%). Fourth, the colors are largely monochrome(73%) and multicolor(27%). In case of monochrome, achromatic color(50%) is more than chromatic color(23%). The chromatic color is consisted of YR(9%), Y(9%), R(5%), RP(4%), PB(2%), P(1%), GY(0.5%), BG(0.5%). The multicolor is consisted of similar coloration(12%), contrast coloration(10%), and accent coloration(5%). Fifth, the decoration data shows that metallic(53%), plain(23%), combination(22%), and handcrafted(1%).

• Journal of Fashion Business
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• v.14 no.1
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• pp.106-115
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• 2010

This study's purpose is to, first survey the traditional children clothing, clothing which doesn't get studied mostly. Second, to choose the factor that can modernize. Third, to design the present one-piece dress. Fourth, to gather an understanding about traditional children clothing and make a chance for children to wear the clothing that has a traditional factor. Traditional children clothes have a same shape with adults' clothes they use five primary color and use a pattern of a symbolic meaning which means healthy and long life. For ordinary wears there are Chimajogori and Bajijogori and for ceremonial dresses they wore Durumagi, Sagyusam which are Po and Dangui and headdress was added. The shape was considered by the children growth condition so the Gorum got longer. The dragon, cicadas, butterfly, phoenix and lots of flower pattern was used by the difference with the class. 5 one-piece design adapted Jogori, skirt, Dangui, Sagyusam, Magoja and used the traditional fabric by mixing the five primary color and the five secondary color was used to make traditional color. This study expects for a chance of children to wear traditional Hanbok or Hanbok-adapted clothes.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.33-40
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• 2023

The mainstay of current image recovery frameworks is Content-Based Image Retrieval (CBIR). The most distinctive retrieval method involves the submission of an image query, after which the system extracts visual characteristics such as shape, color, and texture from the images. Most of the techniques use RGB color space to extract and classify images as it is the default color space of the images when those techniques fail to change the color space of the images. To determine the most effective color space for retrieving images, this research discusses the transformation of RGB to different color spaces, feature extraction, and usage of Convolutional Neural Networks for retrieval.

• Journal of Fashion Business
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• v.18 no.4
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• pp.28-44
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• 2014

The purpose of this study is to analyze the hat fashion worn by the British royal family. The research range has been limited to hats which Elizabeth II, Camilla Parker Bowles, and Kate Middleton wore from April 29, 2011 to April 11, 2014 when Kate Middleton married Windsor Prince William and became part of the royal family. The methods of the research were: previous studies and literature about the royal family were referred to, the function and types of hats were considered, and then the plasticity of the designs seen in hat fashion of the royal family were analyzed. The results are as follows: first, the shape of the hats of the British royal family: Three-dimensional shapes(84.2%) were the most frequent, the detailed shape of the hat Canotier(33.5%), Boater(12.7%) and Bowler(10.3%) had greater frequency. Second, the color of the hats were W(13.7%), Bk(10.5%), Y(9.8%), B(9.6%), YR/PB(9.4%) and RP(9.2%) color. The Color Combination is the Monochrome Color(62.3%), Analogous Color(16.1%), Accent Color(13.2%) and Complementary Color(8.4%) were most frequent. Third, the material of the hats were Felt(44.5%) and Straw(40.3%) were used most frequently. Finally, the decoration of hats were: Flowers(25.7%), String(25.0%), Ribbon(18.4%) and Feathers(17.9%) were the most common. This study can be utilized as basic data for effective styling and design ideas in the field of total fashion.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.3
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• pp.57-63
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• 2009

The rapid growth of computer-based image database, necessity of a system that can manage an image information is increasing. This paper presents a region-based image retrieval method using the combination of color(autocorrelogram), texture(CWT moments) and shape(Hu invariant moments) features. As a color feature, a color autocorrelogram is chosen by extracting from the hue and saturation components of a color image(HSV). As a texture, shape and position feature are extracted from the value component. For efficient similarity confutation, the extracted features(color autocorrelogram, Hu invariant moments, and CWT moments) are combined and then precision and recall are measured. Experiment results for Corel and VisTex DBs show that the proposed image retrieval algorithm has 94.8% Precision, 90.7% recall and can successfully apply to image retrieval system.

• Science of Emotion and Sensibility
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• v.7 no.4
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• pp.57-65
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• 2004

In this paper, we present a hybrid approach which incorporates color, texture and shape in content-based image retrieval. Colors in each image are clustered into a small number of representative colors. The feature descriptor consists of the representative colors and their percentages in the image. A similarity measure similar to the cumulative color histogram distance measure is defined for this descriptor. The co-occurrence matrix as a statistical method is used for texture analysis. An optimal set of five statistical functions are extracted from the co-occurrence matrix of each image, in order to render the feature vector for eachimage maximally informative. The edge information captured within edge histograms is extracted after a pre-processing phase that performs color transformation, quantization, and filtering. The features where thus extracted and stored within feature vectors and were later compared with an intersection-based method. The content-based retrieval system is tested to be effective in terms of retrieval and scalability through experimental results and precision-recall analysis.

• 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.

• Journal of the Optical Society of Korea
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• v.20 no.1
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• pp.118-124
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• 2016

The shape and location of the cutoff shield in a projection-type headlight system were optimized by a ray-tracing technique. A shield based on a Petsval surface showed better cutoff characteristics than a flat or cylindrical shield, such as a sharp intensity gradient and less color separation at the cutoff line. Adjustment of the shield’s location between the reflector and the aspheric lens further improved its cutoff characteristics.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1827-1834
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• 2007

The purpose of research will establish the foundation to enhance the skills of Railway Color Design in the future by accurately analysing the Railway Color characteristics. The emotion and demnds of times influences trend of Railway Color Design, the contents of this research also reflects trend in society and culture. The research contains the history of Railway Design and advance research of Railway Color trend especially influenced by society and culture in the from the 1960's to the year 2005. The study is based on the concept of Railway Color Design. it analyzed the related current of society, culture and Railway Color. Collected Railway Color samples(Railway 46 images) were studied by using visual sensation. The Munsell Color System was used as references. This research analyzed railway introduced as railway models by top 4 nation (United Kingdom, Germany, France, Japan) and Korea in the past years(1960-2005) for their Railway Color Design trend by Munsell Color System. Although the Railway industry has rapidly risen according to life style in society and culture, there has been a lack of organized data for Railway Color Planing. this research on the basis will offer the significant information for Railway Color Design.

• Journal of Broadcast Engineering
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• v.2 no.1
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• pp.74-83
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• 1997

We have proposed a composite feature measure which combines the color and shape features of an image for image retrieval. We improved the performance of retrieval based on the efficient color quantization using the Lloyd-Max quanizer and on the Histogram matrix matching method which considers the spatial correlation of quantized color group. We also supplemented the color information using shape information with the Improved Moment Invarlants. We have tested our technique on Image database consisting of 200 actual trademark images. Our experimental results showed that our approach improved the performance compared to the previous method under the various situations such as rotation images, translation images, noise added images, gamma corrected images and so on. The efficiency of retrieval is found to be very high and experimental results are