• Title/Summary/Keyword: Character Art

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A Study about the Methodological Similarity of Robert Venturi's Works and American Pop Art in the Light of Visual Dissonance(1) (시각적 부조화를 통한 로버트 벤추리 건축과 팝아트의 방법적 유사성에 관한 연구(1))

  • Shin, Yoo-Rim;Yim, Seok-Jae
    • Journal of architectural history
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    • v.21 no.4
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    • pp.59-70
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    • 2012
  • This study aims to find methodical similarities between pop art and Robert Venturi's works. Pop art and Robert Venturi's works gave attention to periodical changes and wanted to communicate with the public. This study approaches a topic from psychological viewpoints, especially visual dissonance. The results are as follows: 1. Manufactured Products ; Commercial Ornaments ${\rightarrow}$ Character Changes in Experienced Stimulation 2. Daily Elements ; Traditional Elements(Classic) ${\rightarrow}$ Contextual Effect of Canonic Representation In these cases, visual dissonance attracted a lot of public attention, and people would develop new meanings of objet. Pop art and Robert Venturi's works indicated value change in post-industrial society, therefore, this study can help to understand the correlation.

A Study on Character Fashion - Concentrating on the Motive of the Character Appeared on Apparel - (캐릭터 패션에 관한 연구(硏究) - 캐릭터 모티프의 의복(衣服)을 중심(中心)으로 -)

  • Kim, Sung-Hee;Cho, Kyu-Hwa
    • Journal of Fashion Business
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    • v.1 no.2
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    • pp.31-45
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    • 1997
  • The purpose of this study is to examine the state of the character fashion which is worn everyday by people regardless of their sex, class, and age after the 1960's, and to look at its significance. Under the influence of mass media, TV, film, comic and popular music exercised its power over the modern living after the 1960's. Such culture has its character in youth, aspiration of wide spread and overflow of the visual image. While active life style and increase of time spent on sports and leisure created the casual trend in fashion. In addition to Pop Art leads to the usage of sign and symbol on clothes, and this created a trend called 'character fashion'. Character fashion can be divided into 'motive' and 'expression'. Motive then is segmented by the 'person' that includes an impersonated figure and 'symbol' of picture or figure with a special meaning. However, expression can be classified by 'one's belonging' which can be a sports team, school or a group. Also, by the 'message' of the phrase or letter. The meaning contained in character fashion by the various motive and expression can be classified as unisex, ego screaming, and escapism.

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Integrated Method for Text Detection in Natural Scene Images

  • Zheng, Yang;Liu, Jie;Liu, Heping;Li, Qing;Li, Gen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.11
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    • pp.5583-5604
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    • 2016
  • In this paper, we present a novel image operator to extract textual information in natural scene images. First, a powerful refiner called the Stroke Color Extension, which extends the widely used Stroke Width Transform by incorporating color information of strokes, is proposed to achieve significantly enhanced performance on intra-character connection and non-character removal. Second, a character classifier is trained by using gradient features. The classifier not only eliminates non-character components but also remains a large number of characters. Third, an effective extractor called the Character Color Transform combines color information of characters and geometry features. It is used to extract potential characters which are not correctly extracted in previous steps. Fourth, a Convolutional Neural Network model is used to verify text candidates, improving the performance of text detection. The proposed technique is tested on two public datasets, i.e., ICDAR2011 dataset and ICDAR2013 dataset. The experimental results show that our approach achieves state-of-the-art performance.

A Study on Character Design Using [Midjourney] Application

  • Chen Xi;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.409-414
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    • 2023
  • In recent years, the emergence of a number of AI image generation software represented by [Midjourney] has brought great impetus to the development of the field of AI-assisted art creation. Compared with the traditional hand-painted digital painting with the aid of electronic equipment, broke the traditional sense of animation character creation logic.This paper analyzes the application of AI technology in the field of animation character design through the practice of two-dimensional animation character . This is having a significant impact on the productivity and innovation of animation design and character modeling. The key results of the analysis indicate that AI technology, particularly through the utilization of "Midjourney,"enables the automation of certain design tasks, provides innovative approaches, and generates visually appealing and realistic characters. In conclusion, the integration of AI technology, specifically the application of "Midjourney," brings a new dimension to animation character design. The utilization of AI image generation software facilitates streamlined workflows, sparks creativity, and improves the overall quality of animated characters. As the animation industry continues to evolve, AI-assisted tools like "Midjourney" hold great potential for further advancement and innovation.

Recognition of Passports using Enhanced Neural Networks and Photo Authentication (개선된 신경망과 사진 인증을 이용한 여권 인식)

  • Kim Kwang-Baek;Park Hyun-Jung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.5
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    • pp.983-989
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    • 2006
  • Current emigration and immigration control inspects passports by the naked eye, registers them by manual input, and compares them with items of database. In this paper, we propose the method to recognize information codes of passports. The proposed passport recognition method extracts character-rows of information codes by applying sobel operator, horizontal smearing, and contour tracking algorithm. The extracted letter-row regions is binarized. After a CDM mask is applied to them in order to recover the individual codes, the individual codes are extracted by applying vertical smearing. The recognizing of individual codes is performed by the RBF network whose hidden layer is applied by ART 2 algorithm and whose learning between the hidden layer and the output layer is applied by a generalized delta learning method. After a photo region is extracted from the reference of the starting point of the extracted character-rows of information codes, that region is verified by the information of luminance, edge, and hue. The verified photo region is certified by the classified features by the ART 2 algorithm. The comparing experiment with real passport images confirmed the good performance of the proposed method.

A Study on Improving Watching Digital-Broadcasting Devices Environment by Analyzing Visual Perception of Character Graphic (문자그래픽 시각인지도 분석 기반 디지털매체 시청환경 개선 연구)

  • Lee, Kook-Se;Moon, Nam-Mee
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.8 no.2
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    • pp.72-77
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    • 2009
  • A number of new DTV technologies have been introduced to provide crystal clear picture and enhanced sound. HDTV, in particular has four times resolution of conventional TV along with 16:9 aspect ratio. Also the introduction of the new technologies offered a valuable basis for character graphics which was only an assistant method to deliver visual images effectively. Various sizes of displays for different applications such as high definition TV and mobile multimedia services have created demands for additional features of character graphics including proper letter fonts, colors, moving effects as much. This article analyzes in what way the visual elements above can affect uses' visual perception. New CG formats designed for OSMU, one source multi use, are also suggested available to each media. For the research three groups of CG designers, art directors and productions/distribution groups are established according to production process by two Delphi surveys of TV production staff.

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Study on the Digital Character and Realism in the Digital Age -Focused on the CG Works of the ACM SIGGRAPH Asia- (디지털 시대: 디지털 캐릭터와 리얼리즘 -ACM 시그래프 아시아 출품작을 중심으로-)

  • Choo, Hye-Jin
    • Cartoon and Animation Studies
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    • s.37
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    • pp.439-461
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    • 2014
  • Art has evolved into remarkable changes in its art form maintaining a close link with the contemporary scientific technologies that gave birth to new tools of expression in each era. Animation is an art form in an inextricable connection with technological aspects because it was spawned by the technical background like movies. In this regard, animation is often viewed very strongly by technical advancements in terms of an aesthetic approach. John Whitney Sr., one of the pioneers in computer graphics arts, turned his attention to the new technology called computer graphics as a means to visualize images and movement. The advent of a new medium had a strong influence not only on tools and means for novel expression but also on the gradual shift in thinking about arts and even the audiences' taste. In the 1980s, animation was combined with computer technology and the rapid progress of computer graphic technology opened up the era of new visual aesthetics, Today, the development of digital technology presents a different dimension of realism, either advocating hyperrealism by digital actors or presenting new illusionism by classic cartoon characters emphasized in a distortion or metamorphosis from a real life in order to consolidate animation realism. Based on the two perspectives mentioned above, this study can identify methods of digital character appropriation focused on the works of the ACM SIGGRAPH Asia and find how the relationship between art and technology has changed the digital realism and evolved the digital character as the digital technology has developed.

Printed Numeric Character Recognition using Fractal Dimension and Modified Henon Attractor (프랙탈 차원과 수정된 에농 어트랙터를 이용한 인쇄체 숫자인식)

  • 손영우
    • Journal of Korea Multimedia Society
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    • v.6 no.1
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    • pp.89-96
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    • 2003
  • This paper propose the new method witch is adopted in extracting character features and recognizing numeric characters using fractal dimension and modified Henon Attractor of the Chaos Theory. Firstly, it gets features of mesh feature, projection feature and cross distance feature from numeric character images And their feature hi converted into time series data. Then using the modified Henon system suggested in this paper, it gets last features of numeric character image after calculating Natural Measure and information bit which art meant fractal dimension. Finally, numeric character recognition is performed by statistically finding out the each information bit showing the minimum difference against the normalized pattern database. An Experimental result shows 100% character classification rates for 10 digits and 90% of recognition rates in real situation and the recognition speed was 26 characters per second.

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Improved Character-Based Neural Network for POS Tagging on Morphologically Rich Languages

  • Samat Ali;Alim Murat
    • Journal of Information Processing Systems
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    • v.19 no.3
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    • pp.355-369
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    • 2023
  • Since the widespread adoption of deep-learning and related distributed representation, there have been substantial advancements in part-of-speech (POS) tagging for many languages. When training word representations, morphology and shape are typically ignored, as these representations rely primarily on collecting syntactic and semantic aspects of words. However, for tasks like POS tagging, notably in morphologically rich and resource-limited language environments, the intra-word information is essential. In this study, we introduce a deep neural network (DNN) for POS tagging that learns character-level word representations and combines them with general word representations. Using the proposed approach and omitting hand-crafted features, we achieve 90.47%, 80.16%, and 79.32% accuracy on our own dataset for three morphologically rich languages: Uyghur, Uzbek, and Kyrgyz. The experimental results reveal that the presented character-based strategy greatly improves POS tagging performance for several morphologically rich languages (MRL) where character information is significant. Furthermore, when compared to the previously reported state-of-the-art POS tagging results for Turkish on the METU Turkish Treebank dataset, the proposed approach improved on the prior work slightly. As a result, the experimental results indicate that character-based representations outperform word-level representations for MRL performance. Our technique is also robust towards the-out-of-vocabulary issues and performs better on manually edited text.

Application of Art Clay Silver in Manufacturing Necklace (목걸이 제작에 있어서 Art Clay Silver활용에 관한 연구)

  • Park, Su-Jung;Koh, Je-Man;Mun, Sung
    • Archives of design research
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    • v.18 no.4 s.62
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    • pp.35-44
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    • 2005
  • In the world, most of the metal technologists were as called as adornment artists than other field of industrial arts strongly industrial characters functional materials and manufacturing technology many used in the present age. In the study, one of adornments researched and material character analyzed about Art Clay Silver. The shrinkage rate of shape was about 0.24%. A shrinking phenomenon drying time thought of evaporation of water linking bonding agents and powders. After calcination of Art Clay Silver, the EDX used that just Ag 100% analyzed a result from the surface assay in the room temperature. A binder with powder in the room temperature considered to disappear, because it was been fume and smoke at high calcined temperature. A study showed when handicrafted necklaces make by these characteristic as using in difficult and delicated operations rather than naturally and beautifully expressive products.

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