• Fashion & Textile Research Journal
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• v.3 no.1
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• pp.61-69
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• 2001

The purpose of this study was to analyze the purchasing behavior related factors of Small Store User in Yhasi street of Dong-Sung Ro, Daegu. Frequency, $X^2$-test MANOVA, ANOVA and Duncan multiple range test were used to analyze the sample. The results of this study were as follows: 1) The largest sample were as follows: un married female, college students of twenties, 101-200 thousand won for salaries. 2) The factors of purchasing behavior were classified into 8 factors, enjoy shopping, store image, unique goods, culture space, salesperson, low price, information seeking, value via price orientation. 3) There were significant differences found between attitude on information source, number of seeking store, music in shop, music sound, size, display, price, street, in their factors of purchasing behavior (unique goods, value via price, low price, store image, enjoy shopping) 4) There were significant differences found between demographic characteristics (personal sales, location, transportation) in their factors of purchasing behavior (salesperson, cultural space, store image).

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.2 s.119
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• pp.160-167
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• 2007

In this study, the influences of environmentally friendly visual and auditory information on traffic noise perception were surveyed by the using electroencephalogram. Green rural region image and CBD (central business district) image in urban city were used as visual informations. And traffic noise, signal and environmental music were used to detect the impact on electroencephalogram variance. It was revealed that green rural region image caused ${\alpha}-wave$ ratio increase about 10% and environmental music increased ${\alpha}-wave$ ratio approximately $40{\sim}50%$. The results of this study improved that environmentally friendly visual and auditory information had an effect on decreasing traffic noise loudness to some extents.

• Cartoon and Animation Studies
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• s.20
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• pp.87-104
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• 2010

Animation creates meaning and affection by combinig image and sound like film. directed by Yuri Norstein is a good text for analyzing animation sound in that it combines image and various music and sound effects well. This study focuses on analyzing the way that sound function to make meaning in this text. Generally sound is categorized into dialogue, music, and sound effect. And animation has its own characteristic in each category. The voice for dialogue is created corresponding to the image of the character and the rhythm is very important in Animation. Plus Sound effect in animation can be said to mimic not just sound but also movement. This study analyzes sound based on three sound factors and the concepts of the point of listening, subjective sound, and sound bridge. Subjective sound using the point of listening of the wolf and the baby bestows a special position on the main characters in the text. It is the overall characteristic of the sound use of this text that the repetitive combination of sound and image, the linguistic and annotative function of sound effect, and comparatively conventional use of music and sound effect enhance the affection and readability.

• Journal of the Korean Home Economics Association
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• v.43 no.11 s.213
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• pp.97-107
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• 2005

Ed- the file appears to be corrupted, and in many sections (these are highlighted) I cannot read it. I presume it has been copied from another format, maybe Hangul 2004. The purpose of this study was to determine a method of make-up image extraction from specific paintings and also to create cyber make-up models according to the images. For this study, Georgia O'Keeffee's floral paintings were analyzed and their colors were compiled to make color palettes. This study attempted to approach floral image make-up which applies specific paintings through the digital mode in the manner of computer graphics. The results of this study were as follows: First, we found romantic images, including feminine, lovely and soft images by Y, GY and RP group colors, in 'Two Calla Lillies on Pink'. Second, we found modem images, including urban, up-to-date and cool images by G, GY and B group colors, in 'Blue and Green Music'. Third, we found sexy images, including brilliant, tempting and daring by R, B and G group colors, in 'Music-Pink and Blue'. To summarize, the images of the paintings were similar to those of the make-up models.

• Korea Science and Art Forum
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• v.37 no.3
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• pp.125-134
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• 2019

This study was conducted to organize a program to classify and analyze the characteristics of images for the automation of background music selection in the video content production process. The results and contents of the study are as follows: video characteristics are selected as subject category, emotion, pixel motion speed, color, and character material. Subject categories and feelings were extracted using Microsoft's Azure Video Indexer, Pixel Movement Speed was an Optional flow, Color was an Image Histogram for Image, and character materials was CNN(Convolutional Neural Network). The results of this study are significant in that video analysis was conducted to match background music in the recent content production process of 'Internet One-person Broadcasting Creators'.

• Fashion & Textile Research Journal
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• v.19 no.4
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• pp.365-372
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• 2017

This study systematically identified the influence of the school look fashion image on public culture, which is used for increasingly sexualized marketing appeal by domestic Girl Groups. We examined and analyzed the school look fashion image of Girl Groups, focusing on the Lolita complex which is particularly influential in the sexual appeal of domestic popular fashion. The method of this study is based on a literature review from the years 2007 to 2016, when the female girl groups began to receive attention. The music videos of the female girl groups in the top 100 charts of 'Melon' from 2006 to 2-16, which provides the largest mobile music service in Korea, were watched and analyzed as primary data. As a result, it was found that the 'school fashion look image' of adolescence which was used as costumes for Girl Groups, plays a role in commercializing the image of a 'girl', and the types and characteristics of school look fashion image are drawn in two ways. First, it is the image of a seductive Lolita complex. This is the case where young girls wear school look fashion image to emphasize their sexual maturity. Second, it is the case that is using the school look fashion image in order to perform with the 'young girl' concept, as an image of the enchanting Lolita complex; in addition, the erotic body image is more explicitly exposed through choreography and nakedness.

• International Journal of Costume and Fashion
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• v.10 no.1
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• pp.67-79
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• 2010

Cultural sensation by appearance of Elvis Aaron Presley is thought to have been greatly influenced by spread of popular culture beginning to form with the development of mess media in USA that was changed rapidly after the war, changing aspect of popular music in U.S.A through the media development and teenager culture of USA that has rapidly emerged. Elvis intended to change into 'music to be seen' deviating from 'music to be simply listened to' with expressing the conversion of sexual consciousness, defiance to older generation and a sense of value on wealth, and the like, and also suggested a new culture and style to the young people at that time. Flow of Elvis's fashion may be categorized into the classifications such as the fashion in the period. First, Formative period(before 1954) distinguished by pimp look and sideburns with tough image and wild clothes. Second, Establishment period(1954-57) may be categorized into the hot rockabilly style which showed a glittering fashion by brilliant and colorful costumes, the cool rockabilly style which changed him to a fashionable star of modem image(1958-60). Third, re-heyday(after 1968) where a brilliant and bold decoration was displayed. In Elvis fashion, the masculine sensualism, defiance to main value and expression of luxury and consuming culture, etc. are included as a unique aesthetic consciousness. 'Expression of masculine sensualism' represented the sensualism through sexual objectification of men's body by men's sexual ostentation which was prohibited. 'Defiance to main value' means that attempts of non-mainstream image for social class are expressed with an exercise of power by young people through the public. Although the Elvis look has fanned an anti-culture, it was expressed and accepted as having a normally capitalistic appearance. In addition, it being thought of as the standard, symbolizing a success and a wealth through the presentation of image which accepted this material benefit, we may classify this into 'expression of luxury and consuming culture'.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.19 no.3
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• pp.294-303
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• 2008

ISAR(Inverse Synthetic Aperture Radar) images represent the 2-D(two-dimensional) spatial distribution of RCS (Radar Cross Section) of an object, and they can be applied to the problem of target identification. A traditional approach to ISAR imaging is to use a 2-D IFFT(Inverse Fast Fourier Transform). However, the 2-D IFFT results in low resolution ISAR images especially when the measured frequency bandwidth and angular region are limited. In order to improve the resolution capability of the Fourier transform, various high-resolution spectral estimation approaches have been applied to obtain ISAR images, such as AR(Auto Regressive), MUSIC(Multiple Signal Classification) or Modified MUSIC algorithms. In this study, these high-resolution spectral estimators as well as 2-D IFFT approach are combined with a recently developed ISAR image classification algorithm, and their performances are carefully analyzed and compared in the framework of radar target recognition.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.69-77
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• 2021

This paper deals with the development of an application that converts the PDF music score entered by the user into a MIDI file of the chord the user wants. This application converts the PDF file into a PNG file for chord conversion when the user enters the PDF music score file and the chord which the user wants to change. After recognizing the melody of sheet music through image processing algorithm and recognizing the tempo of sheet music notes through deep learning, then the MIDI file of chord for existing sheet music is produced. The OpenCV algorithm and deep learning can recognize minim note, quarter note, eighth note, semi-quaver note, half rest, eighth rest, quarter rest, semi-quaver rest, successive notes and chord notes. The experiment shows that the note recognition rate of the music score was 100% and the tempo recognition rate was 90% or more.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.419-421
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• 2006

The importance of automatic discrimination image data has evolved as a research topic over recent years. We have used forward neural network as a classifier using sound data features within image data, our initial tests have shown encouraging results that indicate the viability of our approach.