• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.493-505
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• 1997

In this paper, a wavelet image compression method using human visually estimated quantizer is proposed. The quantizer has three components. These are constructed by using effects of frequency band, background luminance, and spatial masking. The first quantization factor is a fixed constant value for each band. The second factor is calculated by averaging four wavelet coefficients in the lowest frequency band. The third factor is determined by the difference between wavelet coefficients in the lowest frequency band. Arithmetic coding is used for encoding quantized wavelet coefficients. Coefficients in the lowest band are transmitted without loss. Therefore the compressed image is decompressed by using three quantization factors which can be calculated in the receiver. Compared with previous image compression methods which adopted human visual system, the proposed method shows improved results with less computational cost.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.970-981
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• 2002

The purpose of the study is to clarify orange image in the modern fashion. So kinds of costume sample being visual power in orange have been selected from photographs in fashion magazines and divided into the tones : mist(Vp, Lgr, L), bright(P, B), vivid(S, V, Dp). The study was measured by using 27 semantic differential hi-polar scales. The subjects were 50 female students majoring in clothing and textiles, The data was analyzed using the statistical SPSS package. The data were collected using self-administred questionnaires and analyzed by Cronbach $\alpha$, Factor analysis, MDS, ANOVA Sheff test and Regression analysis. The major findings of this research were as follows. 1. Factor analysis has extracted 4 factors of orange image in the fashion. These factor are Attractiveness, Audacity, Hardness and Softness, Cuteness. 2. There were significant difference in visual evaluation of tones. 3. The discrimination among tones was related to cuteness and weight of orange. 4. The image effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.

• 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'.

• Korean Journal of Agricultural Science
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• v.30 no.2
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• pp.139-147
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• 2003

The main purpose of this study is to obtain forest scenic beauty management informations toward forest working systems in pinus densiflora forest stands, etc. To get these information, visual preference and spatial image analysis methods are used. 25 different alternatives were simulated to visualize on basis of actual forest working methods with taken photos from May to July, 2003. The options were illustrated as photos produced by computer software. Respondents' ratings for 25 landscape scenes were obtained by interview survey method. Each alternatives were evaluated by forest major student group with total 103 respondents after reliability test. Visual preference evaluation was used 10 point rating scale. Spatial images of 12 alternatives were measured by 12 semantic differential scale. In general, the respondents preferred refreshing and ordering forest stand after forest working to natural forest stand before forest working. High visual preference for forest density produces 400-600 trees/ha in small diameter class forest stands. Regarding visual preference according to pavement type of trail, soil trail is ranked high. Visual preference for cutting area ranks mature forest stand and visual preference for trail slope cover type ranks shrub with grass as relatively high on the preference scale. Through the factor analysis, spatial images of 12 coniferous forest stands are classified as 'ordered opened' and 'beautiful healthy'. Results indicate how to conduct forest working systems for forest scenic beauty management.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.3
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• pp.330-338
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• 2011

Odometry is the critical factor to estimate the location of the robot. In the mobile robot with wheels, odometry can be performed using the information from the encoder. However, the information of location in the encoder is inaccurate because of the errors caused by the wheel's alignment or slip. In general, visual odometer has been used to compensate for the kinetic errors of robot. In case of using the visual odometry under some robot system, the kinetic analysis is required for compensation of errors, which means that the conventional visual odometry cannot be easily applied to the implementation of the other type of the robot system. In this paper, the novel visual odometry, which employs only the single camera toward the ground, is proposed. The camera is mounted at the center of the bottom of the mobile robot. Feature points of the ground image are extracted by using median filter and color contrast filter. In addition, the linear and angular vectors of the mobile robot are calculated with feature points matching, and the visual odometry is performed by using these linear and angular vectors. The proposed odometry is verified through the experimental results of driving tests using the encoder and the new visual odometry.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1567-1580
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• 2010

This study investigates the effects of visual texture on color emotion and establishes prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics including silk, cotton, and flax were colored by digital textile printing according to chromatic hue and tone combinations that are evaluated in terms of color emotion. Subjective visual texture ratings are also obtained for gray-colored same fabrics to those used in color emotion tests. As a result, fabric clusters by visual texture factors showed significant differences in color emotion factors that are primarily affected by physical color properties. Finally prediction models for color emotion factors by both physical color properties and visual texture clusters were established, which has a potential to be used to explain color emotion according to the visual texture characteristics of fabrics.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.5 s.153
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• pp.762-771
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• 2006

This study provides the basis far salesman to present formal style in suggesting Good-Bad formal style as well as in examining a meaning structure and valuation differences of visual valuation. Stimulus pictures has been chosen consequently 76 pieces through the preliminary inquiry who are working at department store, franchise salesman, car salesman, insurance staff and other salesmen. The tool for visual valuations about suit style is composed of 7 points of Likert type by making 21 questionnaires from the preliminary study. Collecting data is 512 pieces are used to analyse. The duration to collect data was from August 5th to 20th in 2004 and SPSS statistics package program has been used. At first, main factors according to the visual valuation of formal style are Attractiveness, Having abilities, Uncomfortableness. In second, Good formal style shows more attractive and looks having more abilities than Bad formal style and less uncomfortable. In third, in the relations of Good-Bad formal style and demographics, there is meaningful differences according to gender, age, job, salary. In fourth, in the relations of a purchase purpose and visual valuations of formal style, for Good-Bad valuation, the first impression is the most important factor and it is likely to be related to the purchase purpose, on the other hand, the purchase purpose has related to impression the most. It has presented that Good-Bad valuation and purchase purpose have an influence on the factor of Attractiveness.

• Journal of the Korean Wood Science and Technology
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• v.43 no.1
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• pp.25-35
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• 2015

The goal of this study was to review the visual grading and allowable stress determination methodologies for the domestic softwood. Previous studies used different grading (KFRI 1995-27, KFRI 2000-39, KFRI 2007-3, KFRI 2009-1) and allowable stress determination methodologies (ASTM D 245, KS F 2152, JAS 1990). The results of the visual grading were different by each researcher. Compared to the $1^{st}$ grade proportion from the previous studies using the previous specification on visual grading (KFRI 1995-2007), a higher $1^{st}$ grade proportion was found from the studies using the current specification (KFRI 2009). Compared to the allowable stress values from the small clear sample, the higher allowable stress values from the structural size were found. The results indicated that the strength reduction factor used in small clear sample was too conservative for the different grades. To obtain consistent results for the grade, it is required to have experts in visual grading and authorized organizations. An official standard methodology for the allowable stress value determination needs to be defined for the reliable stress value.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.4
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• pp.85-101
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• 2008

This study focuses on visual aesthetic factors in the apparel web site design. 103 undergraduates participated in the evaluation of six internet web sites. The evaluation were recorded and analyzed by using the inspection method and a questionnaire. Findings of this study can be summarized as follows: First, the result of SPSS-factor analysis shows that there are 2 distinct factors; 'classical aesthetics' and 'expressive aesthetics'. 'classical aesthetics' and 'expressive aesthetics' can be described by visual aesthetic design. This conceptual confusion relating to 'visual aesthetic design' can be clarified by these findings. Second, as a result of multiple regression analyses, 'classical aesthetics' and 'expressive aesthetics' have a positive influence on 'interactivity' and 'web site evaluation'. This research clarifies the concepts of 'engagement' of Rosen & Purinton as the 'interactivity' between users and web sites. Finally, this study suggests that 'good design' for internet web sites depends on understanding how to attain the appropriate balance between 'classical aesthetics' and 'expressive aesthetics', based on the target customer.

• Journal of the Korean Institute of Landscape Architecture
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• v.25 no.3
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• pp.199-209
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• 1997

The purpose of this study is to find major factors which are influential in visual preferences of pergolas and shelters. 33 pergolas and shelters were selected for the study by slides test method. Major findings of this study are summarized as follows. 1. In the degree of visual preferences, pergolas and shelters which are traditional Korean ones in harmony with surrounding environment, and provide sculptural effects, unique images and shade, obtain relatively high scores. 2. The result of factor analysis showed that [dimensions] of visual preferences factors for pergolas and shelters were composition and use and place. 3. The result of regression analysis indicated that the best predictors of visual preferences for pergolas and shelters were atmosphere, aesthetics of form, harmony with surroundings, unique image etc.