• Title/Summary/Keyword: sign image

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A Study on the Sign-Consuming Expressive Characteristic Appears in Design Hotel (디자인 호텔에 나타나는 기호 소비적 표현 특성에 관한 연구)

  • Cho, Yun-Seong;Yoon, Jae-Eun
    • Korean Institute of Interior Design Journal
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    • v.20 no.3
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    • pp.80-88
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    • 2011
  • The concept of the modern consumption is not limited to the value of use by mere purchasing and using of the products. The consumers in modern capitalistic society, consumes the semiotic value whose meaning is socially granted, as well as the value for using. Therefore, that tendency that the symbolic sign of the products is consumed to differentiate oneself from the others and express oneself appears. The designed hotel that reflects the features of sign consumption in the modern society and where the discriminate experience can be enjoyed through the unique and diversified design expression is drawing our attention. Therefore, in this paper, based on the theoretical consideration of semiotics, the tendency of sign consumption and its feature appearing in the modem society has been studied. And through the case studies of the hotels which have been built since the 2000s, how such features can be expressed in the space has been studied. As a result of the study, as for the features of expression of modern semiotic consumption society shown in the design hotels, the diversity breaking from the uniformity by the diversified thinking, the hybrid attribute, and the attribute of the differentiated entertaining images, based on hedonism, the inherent symbols and narrative attribute, and the flexible interactions through the experience of emotional consumption, are appearing.

Hand Language Translation Using Kinect

  • Pyo, Junghwan;Kang, Namhyuk;Bang, Jiwon;Jeong, Yongjin
    • Journal of IKEEE
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    • v.18 no.2
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    • pp.291-297
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    • 2014
  • Since hand gesture recognition was realized thanks to improved image processing algorithms, sign language translation has been a critical issue for the hearing-impaired. In this paper, we extract human hand figures from a real time image stream and detect gestures in order to figure out which kind of hand language it means. We used depth-color calibrated image from the Kinect to extract human hands and made a decision tree in order to recognize the hand gesture. The decision tree contains information such as number of fingers, contours, and the hand's position inside a uniform sized image. We succeeded in recognizing 'Hangul', the Korean alphabet, with a recognizing rate of 98.16%. The average execution time per letter of the system was about 76.5msec, a reasonable speed considering hand language translation is based on almost still images. We expect that this research will help communication between the hearing-impaired and other people who don't know hand language.

A Sign Image Database for Sign Recognition Research (간판인식 연구를 위한 간판영상 데이터베이스)

  • Heo Gi-Su;Oh Il-Seok
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.772-774
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    • 2005
  • 간판인식은 관광지의 간판을 자동 인식하여 외국인 또는 외지인에게 편리한 관광 정보제공을 목적으로 연구되고 있다. 이러한 연구의 효율적인 진행을 위해 객관적인 간판영상 데이터베이스가 필수적이다. 이 논문은 전주 한옥마을을 대상으로 수집한 간판영상 데이터베이스에 대해 기술한다. 총 45개의 서로 다른 간판에 대해 각각 50개씩 영상을 다양한 조건에서 획득하였다.

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The Femme Fatale Image in Fashion Illustration (패션 일러스트레이션에 나타난 팜므 파탈(Femme Fatale) 이미지)

  • Choi, Jung-Hwa
    • The Research Journal of the Costume Culture
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    • v.15 no.3 s.68
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    • pp.431-445
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    • 2007
  • The purpose of this study was to analyze and theorize the characteristics of femme fatale in fashion illustration since 1980. The method of this study was to analyze the documentaries for theoretical studies about femme fatale and the visual characteristics in fashion illustration works since 1980. The results of this study were as follows: Femme fatale expressed in the general realm of art was icon of fatal and seductive eroticism in late 19th century. She is composed of diverse images like mythology, exoticism, fear and sensuality. The characteristics of her image in fashion illustration were expressed into de-body image by union of animal and female body, or machine and female body, duplicity of death and sexuality, sexual decadence or abnormality and powerful masculine taste. First, de-body image by union of animal and female body, or machine and female body was expressed in transformed mythical image or bizarre and demonic image, grotesque image linked by picture of female body and painting of animal image, and cyborg image linked by machine and realistic female body by digital media. Second, duplicity of death and sexuality was expressed in juxtaposition by sexual pose, body and something metaphorical and symbolic depiction and de-constructive depiction of death. Third, sexual decadence or abnormality was expressed in fetishistic style, obscene depiction of cheap and hedonistic sexuality, masochistic depiction like antisocial and diseased sex appeal. Forth, powerful masculine taste was expressed in man's face, body, pose, masculine fashion, man's role related to crime and threatening weapon, etc. As mentioned above, femme fatale in fashion illustration was expressed in diverse images by fashion illustrator's point of view. Although she was originated by men's fantastic vision, she brings a catharsis to human being. And she is also recognized as new paradigm and positive cultural sign in our times.

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Hand Shape Classification using Contour Distribution (윤곽 분포를 이용한 이미지 기반의 손모양 인식 기술)

  • Lee, Changmin;Kim, DaeEun
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.6
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    • pp.593-598
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    • 2014
  • Hand gesture recognition based on vision is a challenging task in human-robot interaction. The sign language of finger spelling alphabets has been tested as a kind of hand gesture. In this paper, we test hand gesture recognition by detecting the contour shape and orientation of hand with visual image. The method has three stages, the first stage of finding hand component separated from the background image, the second stage of extracting the contour feature over the hand component and the last stage of comparing the feature with the reference features in the database. Here, finger spelling alphabets are used to verify the performance of our system and our method shows good performance to discriminate finger alphabets.

The implementation of sign design simulation software (사인디자인 제작 체험 시뮬레이션 소프트웨어 개발)

  • Paik, Jin-Kyung;Lee, Kyung-Mi;Yeoun, Myeong-Heum
    • Archives of design research
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    • v.19 no.2 s.64
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    • pp.163-172
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    • 2006
  • Sign is one of the important factors in city and national image formation, thus requires high level of quality. However, domestic sign emphasize only the sense of attention that leads to big sized signs, thus often results in a poor coordination with the surrounding space. This situation requires employees in sign business want to learn specialized knowledge about design field. Based on these circumstances, we propose sign design software to employees in sign business field as an aid tool that can help to develop good signs in terms of functionality as well as harmony of design. Thus, in this investigation, sign simulation software application case that can design sign and apply this sign to the actual application site is presented. In order to develop this software, literature survey and preliminary studies were performed to analyze the preparation process and environment, and designed sign design element and software elements, user interrace, and finally Java software were utilized. This developed software can be used as a textbook in sign design related departments in schools, and hopefully to enhance the social recognition of sign as well as academic interest.

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Research on the Efficiency of Classification of Traffic Signs Using Transfer Learning (전수 학습을 이용한 도로교통표지 데이터 분류 효율성 향상 연구)

  • Kim, June Seok;Hong, Il Young
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.3
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    • pp.119-127
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    • 2019
  • In this study, we investigated the application of deep learning to the manufacturing process of traffic and road signs which are constituting the road layer in map production with 1 / 1,000 digital topographic map. Automated classification of road traffic sign images was carried out through construction of training data for images acquired by using transfer learning which is used in image classification of deep learning. As a result of the analysis, the signs of attention, regulation, direction and assistance were irregular due to various factors such as the quality of the photographed images and sign shape, but in the case of the guide sign, the accuracy was higher than 97%. In the digital mapping, it is expected that the automatic image classification method using transfer learning will increase the utilization in data acquisition and classification of various layers including traffic safety signs.

Wavelet Transform Image Compression Using Shuffling and Correlation (Shuffling 및 상관도를 이용한 웨이블릿 영상 압축)

  • 김승종;민병석;정제창
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.609-612
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    • 1999
  • In this paper, we propose wavelet transform image compression method such that an image is decomposed into multiresolutions using biorthogonal wavelet transform with linear phase response property and decomposed subbands are classified by maximum classification gain. The classified data is quantized by allocating bits in accordance with classified class informations within subbands through arbitrary set bit allocation algorithm. And then, quantized data in each subband are entropy coded. The proposed coding method is that the quantized data perform shuffling before entropy coding in order to remove sign bit plane. And the context is assigned by maximum correlation direction for bit plane coding.

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Comic Emotional Expression for Effective Sign-Language Communications (효율적인 수화 통신을 위한 코믹한 감정 표현)

  • ;;Shin Tanahashi;Yoshinao Aoki
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.651-654
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    • 1999
  • In this paper we propose an emotional expression method using a comic model and special marks for effective sign-language communications. Until now we have investigated to produce more realistic facial and emotional expression. When representing only emotional expression, however, a comic expression could be better than the real picture of a face. The comic face is a comic-style expression model in which almost components except the necessary parts like eyebrows, eyes, nose and mouth are discarded. In the comic model, we can use some special marks for the purpose of emphasizing various emotions. We represent emotional expression using Action Units(AU) of Facial Action Coding System(FACS) and define Special Unit(SU) for emphasizing the emotions. Experimental results show a possibility that the proposed method could be used efficiently for sign-language image communications.

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A Gesture-Emotion Keyframe Editor for sign-Language Communication between Avatars of Korean and Japanese on the Internet

  • Kim, Sang-Woon;Lee, Yung-Who;Lee, Jong-Woo;Aoki, Yoshinao
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.831-834
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    • 2000
  • The sign-language tan be used a9 an auxiliary communication means between avatars of different languages. At that time an intelligent communication method can be also utilized to achieve real-time communication, where intelligently coded data (joint angles for arm gestures and action units for facial emotions) are transmitted instead of real pictures. In this paper we design a gesture-emotion keyframe editor to provide the means to get easily the parameter values. To calculate both joint angles of the arms and the hands and to goner-ate the in keyframes realistically, a transformation matrix of inverse kinematics and some kinds of constraints are applied. Also, to edit emotional expressions efficiently, a comic-style facial model having only eyebrows, eyes nose, and mouth is employed. Experimental results show a possibility that the editor could be used for intelligent sign-language image communications between different lan-guages.

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