• Title/Summary/Keyword: Visual analysis

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Effects of Tele-Robotic Task Characteristics on the Choice of Visual Display Dimensionality (텔레로봇 작업의 특성이 시각표시장치의 유형 결정에 미치는 영향 연구)

  • Park, Seong-Ha;Gu, Jun-Mo
    • Journal of the Ergonomics Society of Korea
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    • v.23 no.2
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    • pp.25-36
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    • 2004
  • The effects of task characteristics on the relative efficiency of visual display dimension were studied using a simulated tele-robotic task. Through a conventional method of task analysis. the tele-robotic task was divided into two categories: the task element requiring focused attention (FA task) and the task element requiring global attention (CA task). Time-ta-completion data were collected for a total of 120 trials involving 10 participants. For the CA task. there was no significant difference between the multiple two-dimensional (20) display and the three-dimensional (3D) monocular display. For the FA task. however. the multiple 20 display was superior to the 3D monocular display. The results suggest that the characteristics of a given task have a considerable effect on the choice of display dimensionality and the multiple 3D display is better for human operators to effectively judge depth if the task requires frequent use of focused attention.

Content-Based Retrieval using MPEG-7 Visual Descriptor and Hippocampal Neural Network (MPEG-7 시각 기술자와 해마 신경망을 이용한 내용기반 검색)

  • Kim Young Ho;Kang Dae-Seong
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.12
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    • pp.1083-1087
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    • 2005
  • As development of digital technology, many kinds of multimedia data are used variously and requirements for effective use by user are increasing. In order to transfer information fast and precisely what user wants, effective retrieval method is required. As existing multimedia data are impossible to apply the MPEG-1, MPEG-2 and MPEG-4 technologies which are aimed at compression, store and transmission. So MPEG-7 is introduced as a new technology for effective management and retrieval of multimedia data. In this paper, we extract content-based features using color descriptor among the MPEG-7 standardization visual descriptor, and reduce feature data applying PCA(Principal Components Analysis) technique. We model the cerebral cortex and hippocampal neural network in engineering domain, and team content-based feature vectors fast and apply the hippocampal neural network algorithm to compose of optimized feature. And then we present fast and precise retrieval effect when indexing and retrieving.

Study for Animation Symbol & Metaphor as Visual Culture (영상문화로서 애니메이션의 상징과 은유에 대한 연구)

  • Cho, Jung-Sung
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.116-120
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    • 2004
  • As the first, about symbol and metaphor of visual culture animation, I research what is the de-centered reading focused on relationship between the semiotics text and the audience. Secondly, I will study about an animation text and their relationship within it's metaphor, animation work's analysis and art directed intension(and process) on aesthetic view as a visual representation.

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The Analysis of Information Transfer Efficiency in Medical Image Display

  • Kim, Jong-Hyo;Min, Byoung-Goo;Han, Man-Cheong;Lee, Choong-Woong
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.55-57
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    • 1992
  • Image display is the last step of imaging chain in which the diagnostic information is transformed into perceivable intensities and transformed to observer's eye-brain system. In this process, a certain part of information may be efficiently transfered and another part may be inefficiently transfered leading to information loss. In this study, the visual perceptual properties of image display on CRT monitor has been investigated. Psychophysical experiment of target image detection has been performed using CRT monitor for various background grey levels, and the threshold difference grey levels required for visual discrimination have been predicted by computer simulation with visual model.

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A Visual and Contextual Comparative Study of the Work of Picasso and Chanel Towards an Understanding of the Overlaps Between Modern Art and Fashion

  • Forster, Samantha Vettese
    • International Journal of Costume and Fashion
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    • v.12 no.2
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    • pp.15-32
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    • 2012
  • From the beginning of the twentieth century, 'Modernism' impacted and transformed art and clothing. Pablo Picasso and Gabrielle 'Coco' Chanel were two of the most central characters in Modernism working simultaneously in their disciplines. Picasso's innovations, particularly in abstract art and Chanel's fashion designs, that dramatically departed from the previous corseted and highly decorative styles, were so significant that they have left an influence on contemporary art and fashion. This study will compare their visual works and documented evidence of their motivations, within the context of their cultural backgrounds, to reveal meaning in the occurrences of overlaps. This approach has examined the historical, cultural background of the artist and designer's environment from different perspectives, adding to previous research in this area. Through this research, outcomes of the analysis have shown similarities and divergences in the wider genres of art and fashion and the practice of the artist and fashion designer. The reference list to this text, used in the survey, gives a comprehensive overview of pertinent publications disseminating Picasso and Chanel's visual works, oral perspectives and cultural impact.

Vehicle License Plate Recognition System using Color Information and PCA (칼라정보와 주성분분석법을 이용한 차량 번호판 인식에 관한 연구)

  • Han Soow-Han;Park Sung-Dae;Park Pan-Gon
    • Proceedings of the Korea Contents Association Conference
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    • 2005.05a
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    • pp.437-442
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    • 2005
  • 본 연구에서는 칼라정보와 주성분분석법(principal component analysis : PCA)를 이용한 차량 번호판 인식시스템을 구성하였다. 먼저 입력된 차량 영상에서 번호판의 형태적 특징과 녹색 칼라 정보를 이용하여 번호판 영역을 추출하였으며, 추출된 번호판내의 문자 및 숫자의 위치적 특징을 이용하여 번호판의 종류(구형, 신형, 최신형)를 구분하였다. 이렇게 추출되고 구분된 번호판은 문자의 상대적 위치정보와 수평 및 수직 투영 정보를 함께 이용하여 각각의 문자영역을 분리 추출하였다. 추출된 문자영역은 주성분분석법을 이용하여 고유벡터를 추출한 후 문자 인식에 사용하였다. 본 논문의 실험과정에서는 다양한 시간대 환경에서 촬영된 주행 중인 자동차 320대의 자가용 차량영상에 대하여 실험하였으며 높은 번호판 추출률과 번호판종류 구분률 그리고 문자 인식률을 얻을 수 있었다.

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Analysis of Dynamic Chinese character Typography Design in Motion Graphics (모션그래픽에서 다이내한 중국문자의 타이포그래되에 대한분석)

  • Fujialun, Fujialun;Kim, Hav-Yoon
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.329-330
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    • 2014
  • The continuous development of information technology had led people into the era of new media. New technologies, in its rapid development, have also produced impacts on traditional visual communication design. As an integral element in traditional visual communication design, Chinese characters have no longer confined to traditional paper media but turned to dynamic video space. In light of the changing globalization tendency, dynamic Chinese characters are producing increasing influences in motion graphics. It is an inevitable trend in character typography design that visual communication will make a breakthrough in the traditional expression boundary. This paper analyzes the influence of dynamic Chinese characters upon motion graphics in view of typography and style, and puts forward with the typography design that can conform to the development of the time, spread information and express emotions in a better way.

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The Study on the Visual Effects of Stripe Patterns in onepiece Dress (원피스 드레스의 줄무늬 시각효과에 관한 연구)

  • Lee Kyoung Hee;Yun Jung Hae;Park Jung Soon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.14 no.4 s.36
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    • pp.314-323
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    • 1990
  • The purpose of this study is to investigate the visual effect of stripe patterns in one-piece dress. The results of the visual effects are as follows; 1. Comparision with experimental stripe patterns; experimental stripe patterns are likely to appear to be fat and wide in shape, and to be rhythmic, active, modern, unstable, not beautiful and dislike in sense. 2. The correlation between terms; there is a considerable correlation between 'the whole body looks fat 'and' the upper body looks fat'(r=0.84) when experimental stripe patterns are compared with vertical stripe pattern. When experimental stripe patterns compared with horizontal stripe patterns, there is a considerable correlation between 'rhythmic' and 'active' (r=0.90). 3. The results of factor analysis: commonly, factor 1 resulted in character of bodily shape and factor 2 resulted in sensuous charactor.

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A Real-Time Graphic Driving Simulator Using Virtual Reality Technique (가상현실을 이용한 실시간 차량 그래픽 주행 시뮬레이터)

  • Jang, Jae-Won;Son, Kwon;Choi, Kyung-Hyun;Song, Nam-Yong
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.7
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    • pp.80-89
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    • 2000
  • Driving simulators provide engineers with a power tool in the development and modification stages of vehicle models. One of the most important factors to realistic simulations is the fidelity obtained by a motion bed and a real-time visual image generation algorithm. Virtual reality technology has been widely used to enhance the fidelity of vehicle simulators. This paper develops the virtual environment for such visual system as head-mounted display for a vehicle driving simulator. Virtual vehicle and environment models are constructed using the object-oriented analysis and design approach. Based on the object model, a three-dimensional graphic model is completed with CAD tools such as Rhino and Pro/ENGINEER. For real-time image generation, the optimized IRIS Performer 3D graphics library is embedded with the multi-thread methodology. The developed software for a virtual driving simulator offers an effective interface to virtual reality devices.

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Projection Pursuit K-Means Visual Clustering

  • Kim, Mi-Kyung;Huh, Myung-Hoe
    • Journal of the Korean Statistical Society
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    • v.31 no.4
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    • pp.519-532
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    • 2002
  • K-means clustering is a well-known partitioning method of multivariate observations. Recently, the method is implemented broadly in data mining softwares due to its computational efficiency in handling large data sets. However, it does not yield a suitable visual display of multivariate observations that is important especially in exploratory stage of data analysis. The aim of this study is to develop a K-means clustering method that enables visual display of multivariate observations in a low-dimensional space, for which the projection pursuit method is adopted. We propose a computationally inexpensive and reliable algorithm and provide two numerical examples.