• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.6 s.154
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• pp.840-850
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• 2006

This thesis that is written by inquiring the shoes of 1990's, is written in order to propose the method of analyzing the changes of shoes design systematically. The picture to be gathered was a content analysis low at ARS and Accessory Collegioni since though the research method took shoes to $1990{\sim}1999$. I categorized the design factors into shape, material, color, decoration. by using those category, the result of analysis of design character. In 1,990's, boots, pumps and straps were the most popular in upper, point and rounded cuban and french were the most popular in toe, leather was the most popular in materiel, suede in F/W and patent in S/S. Black was the most popular color, brown in F/W and white/beige in S/S were the second. Re-created shape that was constructed through the reconstructions of structures and shapes of shoes, shape that was expanded to other genre were appeared in character of design factor. Material image was strengthened by varying patterns of unburned calf, leopard and zebra. Recognition of shoes color was expanded by using unique colorations and abstract, fresh figure colors. Post-modem tendency was appeared like using brassiere strap instead of back strap or using round string in elegant shoes.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1509-1518
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• 2015

Because a logo is a medium that connects between consumers and corporations or brands, designing memorable logo images is vital. Although predicting logo's memorability for brand marketing is essential, there have been only few researches that deal with memorability of logo images. In this paper, we analyze the memorability characteristics in logo images by performing experiments based upon our proposed prediction method for logo image's memorability. Our proposed research consists of three phases: crowdsourcing for memorability computing, computational phase for logo image's memorability, and development of a prediction model. Using computed memorability of logo images by "Visual Memory Game," we analyze the different characteristics of logo's memorability. We first developed a novel computational method that reflects logo image's color and shape. Each computational method on color and shape are selected by comparing the correlations between result values and ground truth memorability. Selected computational value is then converged with generic image feature descriptors such as SIFT and HoG to make a prediction model of logo's memorability. Using our method, we obtain reasonable performances in predicting logo image's memorability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.6
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• pp.1889-1893
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• 2008

This paper explores the classification performance of applying to support vector machines (SVMs) for the image classification problems. In this study, we extract the color, texture and shape features of natural images and compare the performance of image classification using each individual feature and integrated features. The experiment results show that classification accuracy on the basis of color feature is better than that based on texture and shape features and the results of the integrating features also provides a better and more robust performance than individual feature. In additions, we show that the proposed classifier of SVM based approach outperforms BPNN to corporate the image classification problems.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.736-747
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• 2000

This study focused on the comparison of satisfaction with and perception about their bodies by Korean and American women. The respondents included 242 Korean and 145 American female student volunteers, aged 18 to 27, who were enrolled at Kwangju and Catholic University and Cornell University in the United States. The questionnaire was composed of three sections; a body cathexis, perceived body shape-self, perceived body shape-ideal. Twenty items of 30 items showed a significant difference between Korean and American women. Korean student females were more dissatisfied with 20 items than American women. Even though Korean women were smaller in body build than the American women, the Korean women were more negative about their large type, shoulder, hands, arms, hips, neck, face, and skin color than the American women. There were many significant differences between perceived body shape-self and perceived body shape-ideal responses for Korean and American respondents. The exceptions were that a fuller bosom, and longer legs than perceived body shape were desired in both cultures, longer arms were desired by Korean women and darker skin color was desired by American women.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.2
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• pp.13-26
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• 2011

The purpose of this study is to analyze the preference of design and body shape for korean baby-boom generation women. For this study, in-depth interviews were carried out to 11 women who were born in 1955~1963. They are called korean baby-boom generation. The results were as follows; 1) Korean baby-boom generation women care to their body shape, and they make much of the balance of body, not just looking slim. 2) Korean baby-boom generation women become more interested in their clothing, and they want to look with casual image than elegant image before. But overweight women preferred elegant image. 3) Korean baby-boom generation women prefer mix-match style for everyday clothes, but they prefer suit-set for formal wear. 4) When Korean baby-boom generation women choose of jacket or coat color, they consider more of their body-shape than season color. 5) Korean baby-boom generation women prefer plain style and jacquard with metal yarn. 6) Korean baby-boom generation women prefer out-door cloth fabric, at special time, they choose pure wool and pure silk. At ordinary time, they like more comfortable fabric like cotton mixed spandex or wool mixed spandex blends.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.801-805
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• 2006

In this paper, we describe a system of controlling the pictorial puzzle program using information of hand shape. We extract hand region using skin color information and then principal component analysis uses centroidal profile information which comes blob of 2D appearance for hand shape recognition. This method suit hand shape recognition in real time because it extracts hand region accurately, has little computation quantity, and is less sensitive to lighting change using skin color information in complicated background. Finally, we controlled a pictorial puzzle with using recognized hand shape information. This method has good result when we make an experiment on application of pictorial puzzle. Besides, it can use so many HCI field.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.4
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• pp.9-16
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• 2002

Content based Image retrieval methods in the multimedia information retrievals use primary visual features such as color, texture and shape. Color and texture generally are used as features of the image retrieval systems. But these systems may produce errors in similar image retrieval because two images with different shapes can represent very different contents. Therefore, the use of shape describing features is essential in an efficient content based image retrieval system. In this paper, after the global features filtering process by the boundary of objects, we have created a better shape similarity image retrieval system by a histogram of shape information.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.4
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• pp.93-104
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• 2020

This paper focuses on the spatial changes that create a three-dimensional or deep feeling on the surface of a scarf centering on the cube shape. Through this, consumers with various tastes were able to satisfy their image presentation. The cube form has simplicity and order and is likely to be used as a formative object. The cube shapes can be expressed in various forms through visual and perceptual spatial changes by presenting various shape changes based on the viewpoint of the two-dimensional silk surface, that is, by changing the eyes' position and orientation. Various visual theorists' discussions about cube-shaped visual changes were discussed. In addition, the three-dimensional spatial illusion caused by the shape and color of Victor Bazaarelli's cube was examined. The cube shape was printed silk surfaces to give a three-dimensional sense of space on a two-dimensional scarf design using the size change, the difference in the length of the line, and the color change. As such, the cube shape has infinite possibilities as a method that can express three-dimensional depth and space on the flat surface of a scarf. Therefore, it is hoped that this study will be applied to various aspects as the basic data for the scarf design that expresses the spatial changes in the form of cubes.

• Journal of Information Technology Applications and Management
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• v.9 no.3
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• pp.1-12
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• 2002

Due to the fast development in computer and communication technologies, a video is now being more widely used than ever in many areas. The current information analyzing systems are originally built to process text-based data. Thus, it has little bits problems when it needs to correctly represent the ambiguity of a video, when it has to process a large amount of comments, or when it lacks the objectivity that the jobs require. We would like to purpose an algorithm that is capable of analyze a large amount of video efficiently. In a video, divided areas use a region growing and region merging techniques. To sample the color, we translate the color from RGB to HSI and use the information that matches with the representative colors. To sample the shape information, we use improved moment invariants(IMI) so that we can solve many problems of histogram intersection caused by current IMI and Jain. Sampled information on characteristics of the streaming media will be used to find similar frames.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.100.3-100
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• 2002

This paper presents the method for detection and tracking of multiple humans robustly in mobile platform. The perception of human is performed in real time through the processing of images acquired from a moving stereo vision system. We performed multi-cue integration such as human shape, skin color and depth information to detect and track each human in moving background scene. Human shape is measured by edge-based template matching on distance transformed image. Improving robustness for human detection, we apply the human face skin color in HSV color space. And we could increase the accuracy and the robustness in both detection and tracking by applying random sampling stochastic estimati...