• Title/Summary/Keyword: Document Image

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A Study on Visual Factors Affecting Purchase of Convenient Store's Packed-meal on Mobile Application (모바일 애플리케이션을 통한 편의점 도시락 구매 과정에 영향을 미치는 시각 요소에 관한 연구)

  • Lee, Da-Hyun;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.443-448
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    • 2020
  • The purpose of research is identifying visual factors affecting purchase of convenient store packed-meals through mobile applications. Previous studies have not covered mobile applications on purchase of convenient store packed-meals and this inspired the research topic. Document analysis and online survey are mainly implemented and 4 visual factors; typography, product image, main color, brand logo have been set as a research variables. It is revealed that consumers recognize product image prior to the rest and their purchase intentions are most significantly affected by product image. In conclusion, the product image should encourage consumers to have expectation on packed-meal and need to deliver credibility at the same time. Hence, the application should be designed to solely spotlight product image to lead consumer's concentration on it. The research can be further expanded by including non-visual factors as its variables or increasing scale of survey samples.

A Study on Characteristics of Pink Color and Fashion Images Used in Gender Neutral Men's Fashion (젠더 뉴트럴 남성 패션에 사용된 핑크색의 특성과 패션이미지 분석)

  • Hong, YunJung;Joo, Mi Young
    • Journal of Fashion Business
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    • v.24 no.5
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    • pp.52-71
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    • 2020
  • This study examines the color characteristics of the usage of the color pink in menswear by analyzing its usage status and method. It involves an empirical research method establishing the frame of the study through a document study centered on trend, gender neutral considerations, and the utilization of the color pink in men's fashion, by analyzing the characteristics of color and tone by extracting the pink color shown in menswear collections as well as analyzing and categorizing the fashion image and genderless characteristics. Analyzing the color and tone of the pink color shown indicate that bright, light and pale tones had higher proportions. Pink color can also be said to be utilized as a design element that gives off a younger and more vital color image in menswear. Further, the use of brighter and softer pink colors can be interpreted as reflecting modern society's demands of masculinity to change into a more sophisticated and soft image. To analyze the characteristics of the color pink utilized in gender neutral fashion, fashion images were presented as the analysis standard. An image grouping technique was used to classify pink while utilizing genderless types-fashion style. The result showed that even with the same pink color, the fashion image can vary with different methods of expression in terms of clothes and styling. The results of this study can serve as basic data for planning fashion design concepts as it analyzed pink-using fashion images and the genderless concept type.

Image Based Text Matching Using Local Crowdedness and Hausdorff Distance (지역 밀집도 및 Hausdorff 거리를 이용한 영상기반 텍스트 매칭)

  • Son, Hwa-Jeong;Kim, Ji-Soo;Park, Mi-Seon;Yoo, Jae-Myeong;Kim, Soo-Hyung
    • The Journal of the Korea Contents Association
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    • v.6 no.10
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    • pp.134-142
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    • 2006
  • In this paper, we investigate a Hausdorff distance, which is used for the measurement of image similarity, to see whether it is also effective for document retrieval. The proposed method uses a local crowdedness and a Hausdorff distance to locate text images by determining whether a pair of images scanned at different time comes from the same text or not. To reduce the processing time, which is one of the disadvantages of a Hausdorff distance algorithm, we adopt a local crowdedness for feature point extraction. We apply the proposed method to 190 pairs of the same class and 190 pairs of the different class collected from postal envelop images. The results show that the modified Hausdorff distance proposed in this paper performed well in locating the tort region and calculating the degree of similarity between two images. An improvement of accuracy by 2.7% and 9.0% has been obtained, compared to a binary correlation method and the original Hausdorff distance method, respectively.

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Development of Concrete Quality Inspection and Document Management System Using Mobile and Web Technologies (모바일 기술 및 웹을 활용한 콘크리트 품질시험 및 문서관리 시스템 개발)

  • Kim, Young-Suk;Lee, Jae-Kwon;Jung, Un-Suk
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.4
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    • pp.193-205
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    • 2008
  • Quality is an important keyword representing the corporate competitiveness and image in today' s construction industry. Especially in concrete construction, any problems or defects in fresh concrete can significantly degrade the entire quality and performance of the facility built. Thus, adequate quality inspection and testing must be exercised over the fresh concrete, if concrete with the required strength, durability and appearance is to be obtained. The testing of concrete delivered to the construction job site involves testing of fresh concrete and performing strength tests on hardened concrete. The principal tests conducted on fresh concrete include the slump test and tests for air and salt content. The temperature of fresh concrete should be checked out hot or cold weather concreting. The 7-day and 28-day strength of hardened concrete are also determined by compression tests on usually cylinder samples. However, it is very complex and time-consuming process requiring a lot of efforts to document those on-site concrete testing results and to accumulate their historical data. The primary objective of this study is to suggest a unique PDA and web-based system which enables an on-site quality manager to effectively conduct the concrete inspection and testing, automatically document and accumulate the collected historical data, and promptly obtain the approval from supervisors. Finally, it is anticipated that the effective use of the proposed PDA and web-based system would be able to improve reliability of the concrete quality inspection and testing data as well as significantly reduce the approval process.

Some Views for the Buddhist Culture of Southeast Asia at Middle Ages through the Chinese Description (II) (중국문헌을 통해본 중세 동남아의 불교문화(II))

  • JOO, Su Wan
    • SUVANNABHUMI
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    • v.4 no.1
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    • pp.57-90
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    • 2012
  • This essay is for a study on the survey of buddhist cultural literary document about the Southeast Asia by Nanqishu(南齊書), Liangshu(梁書), Chiu T'angshu(舊唐書), Hsin T'ang shu(新唐書) which are included in the Chinese Official History and Jí-shénzhōu-sānbăo-găntōng-lù(集神州三寶感通錄), Weioshu Shilao Ji (魏書 釋老志). These documents allows us to imagine next some historical states. First, these documents are recording this area, especially Funan, as a plentiful diggings of gold, silver, tin, copper, etc. These are important materials for gilt bronze sculptures. Further, this local produced gold called 'Yangmai(楊邁)' is recognized as same as Zĭmòjīn(紫磨金) in china, and these documents explains the process of producing the bronze images and golden ornaments in Southeast Asia. Specially, this plentiful materials leads them to make a 10 wei(圍) tall golden-silver image which worshiped as hindu god or sometimes buddhist images. Second, Vietnam and Funan in Northern and Southern Dynasty periods were in antagonistic relationship not only in the political but also in religious between Vietnamese Hinduism and Funan's Buddhism. Under this situation, the monk Nagaxian(那伽仙) who had came from India was accredited to Southern Qi court as a delegate to build a good relationship by the common religion Buddhism. It means the Buddhism of Southeast Asia also took a role of diplomacy. Third, these documents proved the active Southeast Asian cultural exchange in early 3th century. At this time, Funan delegate Suwu(蘇物) visited the court of Kushan Dynasty in India and he is seemed to travel the city of Pātaliputra. It oppressed us to extend our outlook which have been restricted in the relationship between Southern india and Southeast Asia to more broaden area. In addition, the buddhist art of Southern India and Bodhgaya temple was imported to Southeast Asia directly to send to Southern China. For example, the wooden buddha image, Bodhgaya stupa image, and Sri Lanka style's buddha images are looked be introduced to Southern China at this time throughout the Southeast Asia. At last, we got to know that the court music of Kucha in the northern silk route was imported to the Southeast Asia in early middle age. Even it may be introduced by China, but this document is very important to make the surmise is not unreasonable that the buddhist culture of northern silk route imported to the Southeast Asia accompanied with Kucha music. The buddha images in Gandharan style which are excavated from some site of Southeast Asia may demonstrate this literary sources is authentic.

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Analyzing the Research Fronts of Women's Studies in Korea Using Citation Image Makers Profiling (인용 이미지 구축자 프로파일링을 이용한 국내 여성학 분야 연구 전선 분석)

  • Kim, Jo-Ah;Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.33 no.2
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    • pp.201-225
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    • 2016
  • A new technique for revealing the research fronts of a interdisciplinary discipline has been developed. Citation image makers profiling (CIMP) determines the relationships between research papers with the title words of the citing documents. We adapted this new technique to analyze the research fronts and hot topics in women's studies of Korea. By Korean Citation Index (KCI) data in 2015, we selected 148 papers cited more than 9 times as the core documents of women's studies. Analysis of intellectual structure using citation image makers profiling was performed with the 148 core documents and those citing papers. Document co-citation analysis was hindered by citation data sparsity, while CIMP method successfully revealed the structure of research fronts of Korean women's studies including 2 divisions and 6 subdivisions. The CIMP method suggested in this study has good potential to discover the characteristics of research fronts of interdisciplinary research domains.

A Study on Image Recognition using Enhanced ART1 Algorithm (개선된 ART1 알고리즘을 이용한 이미지 인식에 관한 연구)

  • 천두억;윤성호;김광백
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.3
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    • pp.17-22
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    • 1998
  • As time goes on, that becomes an issue still more for truth from error of a seal in electronic settlement , or in important document in the field of image recognition. But on the other hand image treatment method of a seal have has the weakness until now. It makes indistinct distinction of part that light and darkness is changed sharply as the edge of things. So it has difficult that edge detection is extracted. In this paper, I investigated the pixel in a specific area by using enhanced smothing method and searched a value of frquent occurrence. The value of pixel is substituted and edge detection is extracted. After then it could be classified rightly according as viligence test is dynamically changed. I applied conventional of Yager's generated intersection operator among fuzzy logic operator in ART1 learning Algorithm. Application of suggested ART1 learning algorithm, it results in improved image recognition rate than a case of using the conventional ART1 algorithm

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Texture Feature-Based Language Identification Using Gabor Feature and Wavelet-Domain BDIP and BVLC Features (Gabor 특징과 웨이브렛 영역의 BDIP와 BVLC 특징을 이용한 질감 특징 기반 언어 인식)

  • Jang, Ick-Hoon;Lee, Woo-Shin;Kim, Nam-Chul
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.4
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    • pp.76-85
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    • 2011
  • In this paper, we propose a texture feature-based language identification using Gabor feature and wavelet-domain BDIP (block difference of inverse probabilities) and BVLC (block variance of local correlation coefficients) features. In the proposed method, Gabor and wavelet transforms are first applied to a test image. The wavelet subbands are next denoised by Donoho's soft-thresholding. The magnitude operator is then applied to the Gabor image and the BDIP and BVLC operators to the wavelet subbands. Moments for Gabor magnitude image and each subband of BDIP and BVLC are computed and fused into a feature vector. In classification, the WPCA (whitened principal component analysis) classifier, which is usually adopted in the face identification, searches the training feature vector most similar to the test feature vector. Experimental results show that the proposed method yields excellent language identification with rather low feature dimension for a document image DB.

Design and Implementation of Web-based Retrieval System for Massive Image Contents in Green Computing Environment (그린 환경을 위한 웹기반 대용량 이미지 콘텐츠 검색 시스템 설계 및 구현)

  • Na, Moon-Sung;Lee, Jae-Dong
    • Journal of Korea Society of Industrial Information Systems
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    • v.14 no.5
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    • pp.113-123
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    • 2009
  • As environmental issues are emerging, many efforts are globally conducted to reduce waste of energies and resources for green growth, as well as low-carbon emitting and replacement of document papers with digital files and images. On the other hand, it may require much time and efforts for users to find the proper image files on the web, where enormous un-standardized digital files are flourishing. Therefore, power and resource consumption may also grow up again in searching and retrieving files. This paper suggests efficient system design and implementation for fast and precise massive image contents retrieval for saving the energies and resources. Eventually it will contribute to green growth in computing environment.

Optical Music Score Recognition System for Smart Mobile Devices

  • Han, SeJin;Lee, GueeSang
    • International Journal of Contents
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    • v.10 no.4
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    • pp.63-68
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    • 2014
  • In this paper, we propose a smart system that can optically recognize a music score within a document and can play the music after recognition. Many historic handwritten documents have now been digitalized. Converting images of a music score within documents into digital files is particularly difficult and requires considerable resources because a music score consists of a 2D structure with both staff lines and symbols. The proposed system takes an input image using a mobile device equipped with a camera module, and the image is optimized via preprocessing. Binarization, music sheet correction, staff line recognition, vertical line detection, note recognition, and symbol recognition processing are then applied, and a music file is generated in an XML format. The Music XML file is recorded as digital information, and based on that file, we can modify the result, logically correct errors, and finally generate a MIDI file. Our system reduces misrecognition, and a wider range of music score can be recognized because we have implemented distortion correction and vertical line detection. We show that the proposed method is practical, and that is has potential for wide application through an experiment with a variety of music scores.