• Title/Summary/Keyword: Visual Approach

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Visual factor and Style Analysis of Web Design (웹사이트 화면디자인의 시각요소와 스타일 분석)

  • 이현정;이지수
    • Archives of design research
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    • v.15 no.1
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    • pp.135-142
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    • 2002
  • To show the analytic approach to website sue, this paper discusses style's function that is immediately related to users emotional and aesthetic satisfaction. And we make an analysis of several websites based on various visual factors. Style provides emotion, a shared experience, context that makes the message arts function immediately apparent, and interests. It is a principle design feature that parallels cognitive function. Visual factors of website interface could be extracted from various aspects which are organization level, medial level, and formative level. Based on the extracted visual factors, we analyze the style which convey emotional idea. We select several sites which are opposite side in the image map with son-hard and warm-cool axis, and then make an analysis of them in two points which are organization and formative factors and communication means for emotional effect. To understand the systematic approach to website style could be helpful for figuring out the design problems and bringing out many solutions. It could be base for concrete guideline for website page design.

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A Salient Based Bag of Visual Word Model (SBBoVW): Improvements toward Difficult Object Recognition and Object Location in Image Retrieval

  • Mansourian, Leila;Abdullah, Muhamad Taufik;Abdullah, Lilli Nurliyana;Azman, Azreen;Mustaffa, Mas Rina
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.2
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    • pp.769-786
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    • 2016
  • Object recognition and object location have always drawn much interest. Also, recently various computational models have been designed. One of the big issues in this domain is the lack of an appropriate model for extracting important part of the picture and estimating the object place in the same environments that caused low accuracy. To solve this problem, a new Salient Based Bag of Visual Word (SBBoVW) model for object recognition and object location estimation is presented. Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. This method integrates SIFT features of the original and salient parts of pictures and fuses them together to generate better codebooks using bag of visual word method. The second contribution is to introduce a new algorithm for finding object place based on the salient map automatically. The performance evaluation on several data sets proves that the new approach outperforms other state-of-the-arts.

A Semiotic Approach to Modern Visual Arts (시각예술의 기호학 연구)

  • 남택운
    • The Journal of the Korea Contents Association
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    • v.3 no.2
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    • pp.1-10
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    • 2003
  • A semiotic approach to modem visual arts has emerged since French post-structuralism was introduced to Anglo -American academics by "deconstruction" or "postmodemi sm." It views a work of art as a sign, which is its math odical assumption and, at the same time, makes its appli cation more accessible. In the milieu of modem visual arts' effort to be intimate with general audience, modem art photography is now fared with the request to be a familar and universal domain, instead of being left only in photo books as artistic and academic achievements. More specifically, various photo images puter graphics to such megaexhibitions as "Gwangju Biennale,. "Media City Seo ul," and "Pusan International Art Festival," are main objects of study. A coherent and scientific analysis of visual semitotics is still on the way, however, it is an urgent task how to read and interpret a photo image with multiple meanings. This study argues that visual seniotics can be a powerful tool to enhance the understanding of art photography. After all, seniotics is a product of age; we live in the age of legibility, that is, of reading the work of art well as the social events and phenomena. art well as the social events and phenomena.

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A Transcultural Reflection on Anglo-Chinese Gardens in the 18th Century (18세기 '중국풍 정원(Anglo-Chinese garden)'의 문화전이에 관하여)

  • Kim, Daesin
    • The Journal of Art Theory & Practice
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    • no.16
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    • pp.201-224
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    • 2013
  • The tradition of the representative art style in the Sinosphere, Shanshui hua, expresses the traditional representation of the harmony and principle of the universe. This tradition is reflected in the Chinese garden. These Chinese gardens were precisely the three-dimension representations of Shanshui hua, a visual form of abstract expression of the oriental philosophical thinking. This research determines and draws attention to the vestiges of the reflection of Shanshui hua in the European gardens through visual art and culture. It will also approach the two subjects, Shanshui hua and garden, from a transcultural view to integrally analyze visual art. The appearance of Anglo-Chinese gardens, reflecting Shanshui hua, foreshowed a big change in traditional European gardens. This is a concrete example of the transcultural phenomenon. This has formed the typical naturally curved English gardens in the gardening history. This also divided these English gardens completely from the symmetrical, geometrical French gardens. This study considers the influence and the reverberation of Shanshui hua reflected on European gardens in the European culture. The cultural exchange of European and Chinese styles in the 18th century left an impact on the European gardening style history. Finally, this study analyzes the origin of these Anglo-Chinese gardens and its content to approach it with a transcultural view as a research methodology.

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Interactive Visualization for Patient-to-Patient Comparison

  • Nguyen, Quang Vinh;Nelmes, Guy;Huang, Mao Lin;Simoff, Simeon;Catchpoole, Daniel
    • Genomics & Informatics
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    • v.12 no.1
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    • pp.21-34
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    • 2014
  • A visual analysis approach and the developed supporting technology provide a comprehensive solution for analyzing large and complex integrated genomic and biomedical data. This paper presents a methodology that is implemented as an interactive visual analysis technology for extracting knowledge from complex genetic and clinical data and then visualizing it in a meaningful and interpretable way. By synergizing the domain knowledge into development and analysis processes, we have developed a comprehensive tool that supports a seamless patient-to-patient analysis, from an overview of the patient population in the similarity space to the detailed views of genes. The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. We demonstrate our approach with medical scientists on a case study of childhood cancer patients on how they use the tool to confirm existing hypotheses and to discover new scientific insights.

Adaptive Watermarking Algorithm Using Fuzzy Reasoning and Hybrid Scheme (퍼지추론과 혼합기법을 적용한 적응적 워터마킹 알고리즘)

  • Kim, Yoon-Ho;Kim, Tae-Gon
    • Journal of Advanced Navigation Technology
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    • v.12 no.1
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    • pp.74-81
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    • 2008
  • In this paper, adaptive watermarking algorithm which based on fuzzy reasoning and hybrid scheme is presented. To enforce the time and space complexity, hybrid scheme which utilize a color information as well as visual characteristics is also addressed. Proposed approach have double-aim: in first to use the visual characteristics so as to enforce the robustness of watermarking, and in second to select the optimal sub-band which is to be embedded a watermark. One of the principal advantage is that this approach involved the fuzzy inference module which is designed to select an optimal sub-band from the DWT coefficient blocks. In order to demonstrate the effectiveness of proposed algorithm, some numerical experiments of robustness and imperceptibility are evaluated with respect to such attacks as JPEG compression, noise and cropping.

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Robust Face Detection Based on Knowledge-Directed Specification of Bottom-Up Saliency

  • Lee, Yu-Bu;Lee, Suk-Han
    • ETRI Journal
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    • v.33 no.4
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    • pp.600-610
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    • 2011
  • This paper presents a novel approach to face detection by localizing faces as the goal-specific saliencies in a scene, using the framework of selective visual attention of a human with a particular goal in mind. The proposed approach aims at achieving human-like robustness as well as efficiency in face detection under large scene variations. The key is to establish how the specific knowledge relevant to the goal interacts with the bottom-up process of external visual stimuli for saliency detection. We propose a direct incorporation of the goal-related knowledge into the specification and/or modification of the internal process of a general bottom-up saliency detection framework. More specifically, prior knowledge of the human face, such as its size, skin color, and shape, is directly set to the window size and color signature for computing the center of difference, as well as to modify the importance weight, as a means of transforming into a goal-specific saliency detection. The experimental evaluation shows that the proposed method reaches a detection rate of 93.4% with a false positive rate of 7.1%, indicating the robustness against a wide variation of scale and rotation.

Stereo Visual Odometry without Relying on RANSAC for the Measurement of Vehicle Motion (차량의 모션계측을 위한 RANSAC 의존 없는 스테레오 영상 거리계)

  • Song, Gwang-Yul;Lee, Joon-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.4
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    • pp.321-329
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    • 2015
  • This paper addresses a new algorithm for a stereo visual odometry to measure the ego-motion of a vehicle. The new algorithm introduces an inlier grouping method based on Delaunay triangulation and vanishing point computation. Most visual odometry algorithms rely on RANSAC in choosing inliers. Those algorithms fluctuate largely in processing time between images and have different accuracy depending on the iteration number and the level of outliers. On the other hand, the new approach reduces the fluctuation in the processing time while providing accuracy corresponding to the RANSAC-based approaches.

A study on Precise Trajectory Tracking control of Robot system (로봇시스템의 정밀 궤적 추적제어에 관한 연구)

  • Lee, Woo-Song;Kim, Won-Il;Yang, Jun-Seok
    • Journal of the Korean Society of Industry Convergence
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    • v.18 no.2
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    • pp.82-89
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    • 2015
  • This study proposes a new approach to design and control for autonomous mobile robots. In this paper, we describes a fuzzy logic based visual servoing system for an autonomous mobile robot. An existing system always needs to keep a moving object in overall image. This mes difficult to move the autonomous mobile robot spontaneously. In this paper we first explain an autonomous mobile robot and fuzzy logic system. And then we design a fuzzy logic based visual servoing system. We extract some features of the object from an overall image and then design a fuzzy logic system for controlling the visual servoing system to an exact position. We here introduce a shooting robot that can track an object and hit it. It is illustrated that the proposed system presents a desirable performance by a computer simulation and some experiments.

Improved Contrast for Threshold Random-grid-based Visual Cryptography

  • Hu, Hao;Shen, Gang;Fu, Zhengxin;Yu, Bin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.7
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    • pp.3401-3420
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    • 2018
  • Pixel expansion and contrast are two major performance parameters for visual cryptography scheme (VCS), which is a type of secret image sharing. Random Grid (RG) is an alternative approach to solve the pixel expansion problem. Chen and Tsao proposed the first (k, n) RG-based VCS, and then Guo et al., Wu et al., Shyu, and Yan et al. significantly improved the contrast in recent years. However, the investigations on improving the contrast of threshold RG-based VCS are not sufficient. In this paper, we develop a contrast-improved algorithm for (k, n) RG-based VCS. Theoretical analysis and experimental results demonstrate that the proposed algorithm outperformers the previous threshold algorithms with better visual quality and a higher accuracy of contrast.