• Title/Summary/Keyword: Drawing Image

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Research of popular success factors of game content

  • Liu, Miaoyihai;Chung, Jeanhun
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.83-87
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    • 2022
  • Genshin Impact is an open-world action role-playing game launched by miHoYo in 2020 and has been released on multiple platforms. Due to the excellent character design, it has received widespread attention once it was released, and it has been ranked in the top 10 best-selling lists in several countries after a few weeks of launch. This article will first analyze the map design of the game's open world, and what elements are used on the game map to allow players to immerse themselves in it. Then, in the gameplay of the game, a rich and varied combat system is formed by using the relationship between the elements to restrain each other.There is also a card drawing system added to it, which makes the acquisition of characters full of randomness and allows more players to participate in it. It is concluded that the novel design and rich and varied play methods have made the game Genshin Impact high in popularity, occupying the forefront of the app download list for a long time.

Topic Masks for Image Segmentation

  • Jeong, Young-Seob;Lim, Chae-Gyun;Jeong, Byeong-Soo;Choi, Ho-Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.12
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    • pp.3274-3292
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    • 2013
  • Unsupervised methods for image segmentation are recently drawing attention because most images do not have labels or tags. A topic model is such an unsupervised probabilistic method that captures latent aspects of data, where each latent aspect, or a topic, is associated with one homogeneous region. The results of topic models, however, usually have noises, which decreases the overall segmentation performance. In this paper, to improve the performance of image segmentation using topic models, we propose two topic masks applicable to topic assignments of homogeneous regions obtained from topic models. The topic masks capture the noises among the assigned topic assignments or topic labels, and remove the noises by replacements, just like image masks for pixels. However, as the nature of topic assignments is different from image pixels, the topic masks have properties that are different from the existing image masks for pixels. There are two contributions of this paper. First, the topic masks can be used to reduce the noises of topic assignments obtained from topic models for image segmentation tasks. Second, we test the effectiveness of the topic masks by applying them to segmented images obtained from the Latent Dirichlet Allocation model and the Spatial Latent Dirichlet Allocation model upon the MSRC image dataset. The empirical results show that one of the masks successfully reduces the topic noises.

A GIS, GPS, Database, Internet GIS $software{\copyright}$ The First Arabian GIS $Software\copyright}$

  • El-Shayal, Mohamed El-Sayed
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.695-697
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    • 2006
  • Elshayal $Smart{\copyright}$ software is an almost First Arabian GIS $software{\copyright}$ which completely developed by Arabian developers team and independent of any commercial software package. The software current Features are View and Edit shape files, build new layers, add existing layers, remove layers, swap layers, save layers, set layer data sources, layer properties, zoom in & zoom out, pan, identify, selecting features, invert selection, show data table, data query builder, location query builder, build network, find shortest path, print map, save map image, copy map image to clipboard, save project map, edit move vertex, edit move features, snap vertexes, set vertex XY, move settings, converting coordinate system, applying VB script, copy selected features to another layer, move selected features to another layer, delete selected features, edit data table, modify table structure, edit map features, drawing new features, GPS tracking, 3D view, etc... The software expected Features are: Viewing raster image and image geo-referencing, read other map formats such as DXF Format and Tiger Line Format.

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File Carving: JPEG Image Fragmentation Point Detection for Digital Forensics (파일 카빙: 디지털 포렌식을 위한 JPEG 이미지 단편화 지점 감지)

  • Lkham, Nurzed;Park, Dong-Joo
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.245-247
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    • 2012
  • We know that JPEG image format is one of the most popular image formats in the digital area and distribution of digital photographic drawing it is interested frequently in certain types of forensic investigation. In most case, corrupted images are shown gaudiness with the boundary of the corrupted parts. In the paper, we propose a technique to carve correct JPEG images using transformation method and the approach can be used for JPEG image file carving tool development.

Artificial Intelligence Image Segmentation for Extracting Construction Formwork Elements (거푸집 부재 인식을 위한 인공지능 이미지 분할)

  • Ayesha Munira, Chowdhury;Moon, Sung-Woo
    • Journal of KIBIM
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    • v.12 no.1
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    • pp.1-9
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    • 2022
  • Concrete formwork is a crucial component for any construction project. Artificial intelligence offers great potential to automate formwork design by offering various design options and under different criteria depending on the requirements. This study applied image segmentation in 2D formwork drawings to extract sheathing, strut and pipe support formwork elements. The proposed artificial intelligence model can recognize, classify, and extract formwork elements from 2D CAD drawing image and training and test results confirmed the model performed very well at formwork element recognition with average precision and recall better than 80%. Recognition systems for each formwork element can be implemented later to generate 3D BIM models.

A Study on the Style of Textile Pattern Design Comparing Italian Fashion Brand and Its Extension Brand -Focus on Italian Fashion Brand - (기존 및 확장브랜드의 텍스타일 패턴디자인 개발유형 비교 연구 - 이태리 패션브랜드를 중심으로 -)

  • 이은옥
    • The Research Journal of the Costume Culture
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    • v.10 no.2
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    • pp.146-159
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    • 2002
  • This study examines the textile pattern design of Italian fashion brands and their brand extensions by comparing their images. Five Italian fashion brands are chosen and the textile pattern design of their brand extensions, which were presented during the eight collection. Then their design style is compared with the design style of their main brands. The five main brands and their brand extensions are as fellows: Anna Molinari-Blumarine, Dolce & Gabbana-D&G, Girogio Armani-Emporio Armani, Gian Franco Ferre'-GFF, and Prada-MiuMiu. Their color, motive type, motive layout, motive expression, and pattern drawing technique are examined and compared. Results suggest that most brand extensions generally use color, motive type motive layout. and motive expression similar to their main brands. In particular, their pattern drawing technique is a painting style white their main brands use a graphic style. This result suggests that to create and develop new brand extensions, Italian fashion (main brand) firms in general employ color, motive type, motive layout, and motive expression technique similar to main brands, but different drawing technique to differentiate from their main brands. The results of this study suggest that textile pattern design plays an important role in developing new brand extensions and thus should be considered as a crucial part of the product.

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Development and Effectiveness Verification of a Group Art Therapy Program for Improving School Life Adaptation of Children in Multicultural Families - Focusing on Analysis by Kinetic School Drawing(KSD) - (다문화가정 자녀의 학교생활적응 향상을 위한 집단미술치료 프로그램의 개발과 효과 검증 - 동적 학교생활화(KSD)에 의한 분석을 중심으로-)

  • Park, Soo-Jung;Choi, Youn-Shil
    • Journal of Families and Better Life
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    • v.28 no.6
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    • pp.1-18
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    • 2010
  • The purpose of this study is to develop and verify the effectiveness of a group art therapy program to help children from multicultural families adapt to school life by using Kinetic School Drawing(KSD). The result of this study showed that the group art therapy program of the multicultural family's children may have a positive effect in aiding their school life adaptation. The results showed considerable and statistical outcome in the fore and after drawing inspection of the dynamic KSD. Also, the size of the self-image became bigger and their expressions has been increased. The qualitative analysis also showed a huge change in dynamistic personal relationships due to the relationship with their peers with the same aged and the tutor. This study emphasizes the importance of the group art therapy program to be applied before children are admitted to school because of growing recognition of concern about the maladjustment of rapidly growing multicultural family's children. It is also suggests that the group art therapy program of growing multicultural family's children should be viewed with an ecological point of view.

Exploring Korean Children's Imaginary Science Drawings: A Case of Science-art Integration

  • Mun, Kong-Ju;Kim, Sung-Won
    • Journal of The Korean Association For Science Education
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    • v.28 no.7
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    • pp.724-729
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    • 2008
  • Well-integrated science instruction with art often motivates students to more engage in science learning and to freely express their thoughts and feelings on what they have learned in science classes. This study, therefore, attempted to explore Korean children's imaginary science drawings. Ninety elementary students ($3^{rd}-6^{th}$ graders) in Seoul, South Korea, participated in this study. The guiding research questions were 1) what overall characteristics of students' imaginary science drawings are and how these characteristics represent children's image of science, and 2) what educational value of children's imaginary science drawing activity as a case of science-art integration is. Data sources included a set of children's drawings and individual interviews with selected students. From the drawings, it was found that most of the subjects that children drew tended to be limited to the space. In addition, the children tended to assimilate science into technology that makes our life more convenient. We also found imaginary science drawing can be a good science-art integrated instruction method. Imaginary science drawing has educational benefits; one is a tool to investigate children's thoughts and knowledge of science while the other is method that motivate children to learn science effectively.

A Study on the Photo-image Appropriation in Fashion Illustration (패션 일러스트레이션에서의 사진 이미지 차용에 관한 연구)

  • Kim, Soon-Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.7
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    • pp.1061-1073
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    • 2009
  • Present expression methods have close relations with popular culture in the active acceptance of various kinds of genre. Fashion illustration is no longer limited to sketching garments or technically explaining construction, it is accepted as an art that is expressed by the desire and consciousness of the artist. This study examines the expressional characteristics and effects of photo-image appropriation as an expression method in fashion illustration. The word 'appropriation' (to steal something) is used as euphemism and not meant to be derogatory. The methods of appropriation in art indicate that paintings are not inventions but are self-satisfactory creations that show that the idea of originality is false and that paintings should be uninhibited from the greed of the authority of the genius of artists. In postmodern paintings, the photo-image of appropriation are expressed through the methods of re-photography, photo collage, and photo painting. Photo-image appropriation methods in fashion illustration are re-photography, photo collage, image mixing of photography, drawing, and graphic expression of photography. Fashion illustrators are able to develop expression techniques for expanding a field of expression and enhance the ability of communication through the photo-image appropriation methods.

Car detection area segmentation using deep learning system

  • Dong-Jin Kwon;Sang-hoon Lee
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.182-189
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    • 2023
  • A recently research, object detection and segmentation have emerged as crucial technologies widely utilized in various fields such as autonomous driving systems, surveillance and image editing. This paper proposes a program that utilizes the QT framework to perform real-time object detection and precise instance segmentation by integrating YOLO(You Only Look Once) and Mask R CNN. This system provides users with a diverse image editing environment, offering features such as selecting specific modes, drawing masks, inspecting detailed image information and employing various image processing techniques, including those based on deep learning. The program advantage the efficiency of YOLO to enable fast and accurate object detection, providing information about bounding boxes. Additionally, it performs precise segmentation using the functionalities of Mask R CNN, allowing users to accurately distinguish and edit objects within images. The QT interface ensures an intuitive and user-friendly environment for program control and enhancing accessibility. Through experiments and evaluations, our proposed system has been demonstrated to be effective in various scenarios. This program provides convenience and powerful image processing and editing capabilities to both beginners and experts, smoothly integrating computer vision technology. This paper contributes to the growth of the computer vision application field and showing the potential to integrate various image processing algorithms on a user-friendly platform