• Title/Summary/Keyword: text-to-image

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Design and Implementation of JPEG Image Display Board Using FFGA (FPGA를 이용한 JPEG Image Display Board 설계 및 구현)

  • Kwon Byong-Heon;Seo Burm-Suk
    • Journal of Digital Contents Society
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    • v.6 no.3
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    • pp.169-174
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    • 2005
  • In this paper we propose efficient design and implementation of JPEG image display board that can display JPEG image on TV. we used NAND Flash Memory to save the compressed JPEG bit stream and video encoder to display the decoded JPEG mage on TV. Also we convert YCbCr to RGB to super impose character on JPEG image. The designed B/D is implemented using FPGA.

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A Study on City Brand Evaluation Method Using Text Mining : Focused on News Media (텍스트 마이닝 기법을 활용한 도시 브랜드 평가방법론 연구 : 뉴스미디어를 중심으로)

  • Yoon, Seungsik;Shin, Minchul;Kang, Juyoung
    • Journal of Information Technology Services
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    • v.18 no.1
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    • pp.153-171
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    • 2019
  • Competition among cities has become fierce with decentralization and globalization, and each city tries to establish a brand image of the city to build its competitiveness and implement its policies based on it. At this time, surveys, expert interviews, etc. are commonly used to establish city brands. These methods are difficult to establish as sampling methods an empirical component, the biggest component of a city brand. In this paper, therefore, based on the precedent research's urban brand measurement and components, the words representing each city image property were extracted and relocated to five indicators to form the evaluation index. The constructed indicators have been validated through the review of three experts. Through the index, we analyzed the brands of four cities, Ulsan, Incheon, Yeosu, and Gyeongju, and identified the factors by using Topic Modeling and Word Cloud. This methodology is expected to reduce costs and monitor timely in identifying and analyzing urban brand images in the future.

A Study on the Development of E-book Contents for Fashion Online Entrepreneurship Education (패션온라인창업 교육을 위한 전자책 콘텐츠 개발에 대한 연구)

  • Hwa-Yeon Jeong;Eun-Hee Hong
    • Journal of the Korea Fashion and Costume Design Association
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    • v.26 no.1
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    • pp.33-44
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    • 2024
  • This study developed e-book content in order to use e-books as a tool to provide more efficient classes to learners who are familiar with smart devices and online spaces. E-book contents were produced using Sigil-0.9.10. The development process is as follows. Before e-book development, it is necessary to prepare manuscript files, image files to be inserted, fonts to be used, and e-book covers. After inserting the book cover images, it is necessary to register the table of contents using the title tag and register the free fonts. Also, a style must be created for text or images used in the main text connected to a file containing the entire text. Then, after separating the entire text file into separate files according to each chapter, the text is completed in turn. E-books were produced focusing on hyperlink functions so that educational content and various example images could be accessed. Currently, there is a lack of research on e-books as textbooks in universities within the fashion design major. In the future, if e-book contents are developed according to the characteristics of courses and the level of learners, they can be used as effective teaching tools.

A Study on Process of Creating 3D Models Using the Application of Artificial Intelligence Technology

  • Jiayuan Liang;Xinyi Shan;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.346-351
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    • 2023
  • With the rapid development of Artificial Intelligence (AI) technology, there is an increasing variety of methods for creating 3D models. These include innovations such as text-only generation, 2D images to 3D models, and combining images with cue words. Each of these methods has unique advantages, opening up new possibilities in the field of 3D modeling. The purpose of this study is to explore and summarize these methods in-depth, providing researchers and practitioners with a comprehensive perspective to understand the potential value of these methods in practical applications. Through a comprehensive analysis of pure text generation, 2D images to 3D models, and images with cue words, we will reveal the advantages and disadvantages of the various methods, as well as their applicability in different scenarios. Ultimately, this study aims to provide a useful reference for the future direction of AI modeling and to promote the innovation and progress of 3D model generation technology.

Generative AI-based Exterior Building Design Visualization Approach in the Early Design Stage - Leveraging Architects' Style-trained Models - (생성형 AI 기반 초기설계단계 외관디자인 시각화 접근방안 - 건축가 스타일 추가학습 모델 활용을 바탕으로 -)

  • Yoo, Youngjin;Lee, Jin-Kook
    • Journal of KIBIM
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    • v.14 no.2
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    • pp.13-24
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    • 2024
  • This research suggests a novel visualization approach utilizing Generative AI to render photorealistic architectural alternatives images in the early design phase. Photorealistic rendering intuitively describes alternatives and facilitates clear communication between stakeholders. Nevertheless, the conventional rendering process, utilizing 3D modelling and rendering engines, demands sophisticate model and processing time. In this context, the paper suggests a rendering approach employing the text-to-image method aimed at generating a broader range of intuitive and relevant reference images. Additionally, it employs an Text-to-Image method focused on producing a diverse array of alternatives reflecting architects' styles when visualizing the exteriors of residential buildings from the mass model images. To achieve this, fine-tuning for architects' styles was conducted using the Low-Rank Adaptation (LoRA) method. This approach, supported by fine-tuned models, allows not only single style-applied alternatives, but also the fusion of two or more styles to generate new alternatives. Using the proposed approach, we generated more than 15,000 meaningful images, with each image taking only about 5 seconds to produce. This demonstrates that the Generative AI-based visualization approach significantly reduces the labour and time required in conventional visualization processes, holding significant potential for transforming abstract ideas into tangible images, even in the early stages of design.

The Avata Construction System for Image Lossless Scaling (이미지 손실없는 확대/축소가 가능한 아바타 생성 시스템)

  • 김원중;장미화
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.2
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    • pp.181-189
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    • 2002
  • In this paper, we designed and implemented Avata construction system using XML(extensible Markup Language) and SVG(Scalable Vector Graphic). The Web character created with Avata(or Web character) construction system are displayed in same (on without damage of image, regardless terminal type and user can modify and change image easily in form that want. Compare with existing Web character system, the Reusability of web character part element Is increased greatly with Avata construction system of this paper. Because SVG is described by text, graphic retrieval is convenient, and applications can use easily SVG document. Also, SVG can create web graphic document dynamically with database because can access easily in all graphic primitives of line, Polygon, text, image etc. As well as web character using study finding, we may develop usable technology to some contents on World Wide Web.

Comparison of Feature Performance of Binarization Methods for Character Recognition System Based on Digital Camera (카메라기반 문서인식 시스템을 위한 현장문서에 적합한 이진화 알고리즘 특징성능의 비교)

  • 지수영;김계경;유원필;정연구;김태윤
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.373-376
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    • 2002
  • This paper represents a survey of a variety thresholding techniques including both global and local thresholding. Several thresholding methods are examined in detail to evaluate their performance based on a given set of test images. We also attempt to evaluate the performance of several thresholding methods for construction field documents image recognition system using a broken line structures, broken symbols and text, blurring of lines, symbols and text, noise in homogeneous areas measure as a criterion functions.

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Quality assessment of high performance concrete using digitized image elements

  • Peng, Sheng-Szu;Wang, Edward H.;Wang, Her-Yung;Chou, Yu-Te
    • Computers and Concrete
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    • v.10 no.4
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    • pp.409-417
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    • 2012
  • The quality of high performance concrete largely depends on water cement ratio, porosity, material composition and mix methods. The uniformity of color, texture and compressive strengths are quality indicators commonly used to assess the overall characteristics of concrete mixes. The homogeneity and share of coarse aggregates play a key role in concrete quality and must be analyzed in a microscopic point of view. This research studies the quality of high performance concrete by taking drilled cores in both horizontal and vertical directions from a 1.0 $m^3$ specimen. The coarse aggregate, expressed in digitized $100{\times}116$ dpi resolution images are processed based on brightness in colors through commercial software converted into text files. With the image converting to text format, the share of coarse aggregate is quantified leading to a satisfactory assessment of homogeneity - a quality index of high performance concrete. The compressive strengths of concrete and the shares of coarse aggregate of the samples are also compared in this research study to illustrate its correlation in concrete quality. It is concluded that a higher homogeneity of aggregate exists in the vertical plane than that of the horizontal planes of the high performance concrete. In addition, the concrete specimen showing denser particle packing has relatively higher compressive strengths. The research methodology provides an easy-to-use, direct measurement of high performance concrete when conducting quality assessment in the construction site.

Comparison of the Differences in AI-Generated Images Using Midjourney and Stable Diffusion (Midjourney와 Stable Diffusion을 이용한 AI 생성 이미지의 차이 비교)

  • Linh Bui Duong Hoai;Kang-Hee Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.563-564
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    • 2023
  • Midjourney and Stable Diffusion are two popular AI-generated image programs nowadays. With AI's outstanding image-generation capabilities, everyone can create artistic paintings in just a few minutes. Therefore, "Comparison of differences between AI-generated images using Midjourney and Stable Diffusion" will help see each program's advantages and assist the users in identifying the tool suitable for their needs.

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Text Region Verification in Natural Scene Images using Multi-resolution Wavelet Transform and Support Vector Machine (다해상도 웨이블릿 변환과 써포트 벡터 머신을 이용한 자연영상에서의 문자 영역 검증)

  • Bae Kyungsook;Choi Youngwoo
    • The KIPS Transactions:PartB
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    • v.11B no.6
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    • pp.667-674
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    • 2004
  • Extraction of texts from images is a fundamental and important problem to understand the images. This paper suggests a text region verification method by statistical means of stroke features of the characters. The method extracts 36 dimensional features from $16\times16$sized text and non-text images using wavelet transform - these 36 dimensional features express stroke and direction of characters - and select 12 sub-features out of 36 dimensional features which yield adequate separation between classes. After selecting the features, SVM trains the selected features. For the verification of the text region, each $16\times16$image block is scanned and classified as text or non-text. Then, the text region is finally decided as text region or non-text region. The proposed method is able to verify text regions which can hardly be distin guished.