• Journal of the Semiconductor & Display Technology
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• v.18 no.4
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• pp.57-61
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• 2019

Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.120-129
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• 2011

This research aims to investigate the representative affective words and the structure among them to scrutinize user's affect revealed in the ride film based on three dimension stereoscopic image. Previous studies related to the affect were reviewed and the affect words well-suited for three dimension stereoscopic image were collected. Suitability test for two hundred six basic affect words gathered as the result was done from sixty two typical users and four experts. Seventy seven candidate affect words have been selected and by the exclusion of similarity among them, finally twenty six words were extracted from the reduction process. Consequently fifteen representative words and the structure as the network between each word were revealed by using free association test based on twenty six affect words. We propose the affect research including sensors, emotions, and affects related to moving image rather than still mage during doing research affects in most of the previous studies. The future work includes the affect space and the affect effect for ride film based on three dimension stereoscopic image. This study can be adopted practically in the production of ride films and provided with a basic design guideline.

• Lingua Humanitatis
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• v.8
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• pp.59-78
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• 2006

The paper brings to question how image as a medium is becoming a replacement for traditional letters in the modern culture. Reflection the importance of image in the context of modern society with the changes in the values of communication. The importance of letters in its traditional format as a book that signified not only the method of communication but also power for those who governed during the days of illiteracy in the past has changed, in the beginning with the development of printing and today with movies etc. that supply endless images instead of words as a means of communication. The images are the next generation in the method of communication and can be noted from the earliest civilizations such as Egypt where the method of communication was not words but drawings that depicted specific significations. The use of images for communication purposes in light of this fact suggests that images was being used before words in societies and its communicative values greater than that of words.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.4 s.44
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• pp.379-391
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• 1992

This study was intended to identify the constructing factors and the evaluative dimensions of clothing images. A questionnaire consisted of 110 words expressing clothing images was developed, and eight clothing photographs were selected as stimuli. 298 female subjects aged between 22 to 37 responsed to the 110 words for two photographs during September in 1991. After survey, 110 words were reduced to 62 words based on their independence, then factor analysis was conducted. As a result of factor analysis,6 factors-grace, modernity, unattractive- ness, activeness, dressiness, and youthfulness were found out as constructing factors of clothing images. One additional interest was the effect of design line to the formation of clothing images. ANOVA identified that curved line designs were perceived to be more graceful, modern, dressy, and youthful, and straight line designs were perceived to be more unattractive and active. The other interest was the effect of image factors to the total evaluation. So, regression was used. Consequently, the most influential factor to the total evaluation was found out as grace, followed by unattractiveness, modernity, youthfulness and activeness in a descending order. To identify the evaluative dimensions of clothing images, nine words of unattractiveness image factor were eliminated, and multidimensional scaling analysis was employed. Here, three dimensions were judged to be appropriate to explain the result. The first dimension in the multidimensional space was the evaluation in 'mannish image versus feminine image'. The second was the evaluation in 'simple image versus decorative image'. The third was the evaluation in 'pastoral image versus urbane image'.

• Korean Journal of Human Ecology
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• v.12 no.4
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• pp.539-552
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• 2003

The purpose of this study was to find out the proper evaluative words and colors according to various fashion images and to classify the fashion images according to certain criteria. 13 books which included the content of the fashion images were selected to draw evaluative words and colors. Evaluative words and colors were found out as follows: classic image-traditional, classical, conservative and brown, wine, dark yellow, modem image-intelligent, rational, westernized and achromatic color, cool colors, elegance image-dignified, graceful, chic and greyish tone, pale tone, romantic image-cute, lovely, girlish, natural image-natural, comfortable, gently and brown, ivory beige, khaki, casual image-energetic, comfortable, active and red, yellow, blue family. The classification of fashion images according to various criteria were as follows. According to sex: feminine-elegance, romantic, pretty and masculine-mannish, dandy, military. According to time: past-conservative, traditional, classical, and present-modern, contemporary, sophisticate. According to formality: formal-formal wear of classic, elegance, mannish, dandy style and informal-natural, casual. According to intelligence, the elite style-modern, elegance, classic, sophisticate and the public style-casual, natural.

• Journal of Korean Clinical Nursing Research
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• v.22 no.2
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• pp.173-182
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• 2016

Purpose: This study investigated the linking words of nurse which were presented together with nurse on phrase, clauses or sentence of documents or conversations in the Internet portals and social media. Methods: The linking words with nurse were calculated by the number of presentation on conversations or documents, in Google, Daum, Naver, Twitter and Facebook. The changes of characteristics and the trend of yearly changes of major linking words of nurse were investigated by the type of media. In order to identify the meaning of the words, clustering of the collected linking words by categories was analysed and the characteristics of each cluster were classified. Results: A total number of reviewed linking words was 17,399,711 and the most frequently presenting words were hospital, work and person. The words related to people were the most highly presented and the next were those of emotion, professional and place respectively. Conclusion: With analysing the trends of changes and characteristics of words by yearly base and clusters, we attempted to investigate the image of nurse that the public think and feel about nurse.

• Korean Journal of Child Studies
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• v.31 no.3
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• pp.67-82
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• 2010

The purpose of this study was to examine parents' image of kindergarten teacher in a bid to provide useful information on kindergarten teacher and parents education to improve the image of kindergarten teachers. The participants in this study were 90 mothers whose young children attended kindergarten in the city of Busan. They were asked to describe what words came into their mind about the image of kindergarten teacher and what an ideal image of kindergarten teacher should be like. Among the participants, ten mothers were interviewed to tell about the ideal image of kindergarten teacher. The largest number of the parents wrote down the words that represented the image of the personality of kindergarten teachers, and love and friendliness were the most common words that the parents mentioned. As for an ideal image of kindergarten teacher, they wanted kindergarten teachers to love preschoolers, to have a good and friendly personality, to see through young children's eyes and to be positive and happy. It indicated that the parents expected their children to be educated by teachers who are understanding, cheerful, have a good personality and love children as their own children.

• Journal of Platform Technology
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• v.6 no.4
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• pp.26-33
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• 2018

In this paper, we propose an image retrieval algorithm for real-time processing and design it as hardware. The proposed method is based on the classification of BoWs(Bag of Words) algorithm and proposes an image search algorithm using bit stream. K-fold cross validation is used for the verification of the algorithm. Data is classified into seven classes, each class has seven images and a total of 49 images are tested. The test has two kinds of accuracy measurement and speed measurement. The accuracy of the image classification was 86.2% for the BoWs algorithm and 83.7% the proposed hardware-accelerated software implementation algorithm, and the BoWs algorithm was 2.5% higher. The image retrieval processing speed of BoWs is 7.89s and our algorithm is 1.55s. Our algorithm is 5.09 times faster than BoWs algorithm. The algorithm is largely divided into software and hardware parts. In the software structure, C-language is used. The Scale Invariant Feature Transform algorithm is used to extract feature points that are invariant to size and rotation from the image. Bit streams are generated from the extracted feature point. In the hardware architecture, the proposed image retrieval algorithm is written in Verilog HDL and designed and verified by FPGA and Design Compiler. The generated bit streams are stored, the clustering step is performed, and a searcher image databases or an input image databases are generated and matched. Using the proposed algorithm, we can improve convenience and satisfaction of the user in terms of speed if we search using database matching method which represents each object.

• Journal of Fashion Business
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• v.13 no.6
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• pp.137-146
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• 2009

This study analyzed hierarchy of image for visual evaluation of flare skirt. This study analyzed expression words about flare skirt with frequency data of image expression words with different length and volume of flare. Stimuli for the study were set to be 4 different volume of flare ($90^{\circ}$, $180^{\circ}$, $270^{\circ}$, $360^{\circ}$) and 3 different length of skirt(48cm, 58cm, 68cm). Stimuli were made by using I-Designer which is Virtual Sewing System. From simulation of flare skirt, the subjects were asked to write down suggested adjective freely and selected 210 adjectives. With this, we chose total 38 adjectives considering frequencies in the pre-study. And we analyzed the combination process of expression words according to construction factor of flare skirt and hierarchy of image from dendrogram which was resulted by hierarchical cluster analysis. 'Feminine' got high score in all 12 flare skirt. When the skirt was short, it was vivid, and as the skirt got longer, ordinary and pure image showed. Also, as the volume of flare got larger, the average of visual effect was higher than visual image. Visual hierarchy construction according to construction factors of flare skirt could be divided into visual image and visual effect, and visual image was shown to be form 'A type - large volume of flare and short skirt length', 'H type-small volume of flare and short skirt length' and 'X type - large volume of flare and long skirt length'.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.547-552
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• 2014

As social multimedia sites are getting popular such as Flickr and Facebook, the amount of image information has been increasing very fast. So there have been many studies for accurate social image retrieval. Some of them were web image classification using semantic relations of image tags and BoVW(Bag of Visual Words). In this paper, we propose a method to detect salient region in images using GBVS(Graph Based Visual Saliency) model which can eliminate less important region like a background. First, We construct BoVW based on SIFT algorithm from the database of the preliminary retrieved images with semantically related tags. Second, detect salient region in test images using GBVS model. The result of image classification showed higher accuracy than the previous research. Therefore we expect that our method can classify a variety of images more accurately.