• Title/Summary/Keyword: document image analysis

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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.

Deep-Learning Approach for Text Detection Using Fully Convolutional Networks

  • Tung, Trieu Son;Lee, Gueesang
    • International Journal of Contents
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    • v.14 no.1
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    • pp.1-6
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    • 2018
  • Text, as one of the most influential inventions of humanity, has played an important role in human life since ancient times. The rich and precise information embodied in text is very useful in a wide range of vision-based applications such as the text data extracted from images that can provide information for automatic annotation, indexing, language translation, and the assistance systems for impaired persons. Therefore, natural-scene text detection with active research topics regarding computer vision and document analysis is very important. Previous methods have poor performances due to numerous false-positive and true-negative regions. In this paper, a fully-convolutional-network (FCN)-based method that uses supervised architecture is used to localize textual regions. The model was trained directly using images wherein pixel values were used as inputs and binary ground truth was used as label. The method was evaluated using ICDAR-2013 dataset and proved to be comparable to other feature-based methods. It could expedite research on text detection using deep-learning based approach in the future.

Ultrasonographic Changes of Acute Renal Failure Induced by Gentamicin in Dogs (개에서 겐타마이신으로 유발된 급성 신부전의 초음파상 변화)

  • 진경훈;정종태
    • Journal of Veterinary Clinics
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    • v.18 no.1
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    • pp.35-43
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    • 2001
  • Present study was undertaken in order to document early renal ultrasonographic changes of gentamicin nephrotoxicosis and to show the value of renal ultrasonography as a contributory means of early diagnosis of acute renal failure in dogs. The experimental design was a randomized complete block design with six treatments in two blocks (gentamicin-treated & saline-treated). Acute renal failure was induced by toxic dosage of gentamicin (30 mg/kg) and saline solution sham equivalent in volume to that of the toxic dosage of gentamicin (1.5-3ml). Subjective visualization of increased renal cortex was visible as homogenous echoes that were hypoechoic relative to the surrounding tissues, whereas the renal medulla was anechoic to slightly hypoechoic. After treatment, the renal cortex was hyperechoic relative to the surrounding tissue. Increased renal cortex echogenicity was associated with significant nephrotoxicosis and was superior to serum creatinine elevation in nephrotoxicosis detection. Urine GGT was superior to other clinicopathological data utilized in the diagnosis of nephrotoxicosis. Based on the above results, increased renal cortex echogenicity seemed to be of use in detecting of acute renal failure.

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Development of TIM Module for Construction PDM (PDM 구축을 위한 TIM 모듈개발)

  • 이승우;송준엽
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.307-310
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    • 2001
  • In this paper, development of TIM Module for constructing PDM will be introduced. Technical information relevant product data influences cost, quality, precision and productivity. One of the very important feature of product data is organizing not by oneself but very closed to many technical information such as document, file, image and analysis sheet. To manage various technical information, several kinds of management system are used in multi level of production system. PDM and TIM systems are being developed for suitable purpose and are in need of Network technology, Information Technology, Database, sharing and distributing information. Developed TIM system is based on Web environment. By using this system, we can manage systematic technical information and reduce cost for constructing PDM system. And also we will put to practical use another technical information management system for mold plant.

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Page Layout Analysis and Text Segmentation in Document Image (문서영상의 레이아웃 분석과 문자 분할)

  • Choi, Jae-Hyung;Cho, Nam-Ik
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.71-74
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    • 2012
  • 본 논문에서는 새로운 문자 분할 알고리즘을 제안한다. 고전적인 문자 분할 알고리즘은 학술적인 문서영상과 같이 단순한 구조를 가진 문서영상을 대상으로 하여 좋은 성능을 보였지만 다양한 문자 크기와 색상, 그림, 복잡한 배경 등으로 구성된 문서영상에서는 좋지 못한 성능을 보인다. 최근에 제안고 있는 방법들은 복잡한 문서영상에서도 좋은 성능을 보이도록 다양한 기법들을 적용하여 우수한 성능을 보이고 있지만, 대부분의 방법들이 영상을 일정한 크기의 블록으로 나누어 문자분할을 하기 때문에 세밀한 부분에서는 성능이 어느 정도 한계를 보인다. 따라서 본 논문에서는 블록의 크기에 제한을 갖지 않는 새로운 방법으로서, watershed 알고리즘을 이용한 문자분할 방법을 제시한다. 구체적으로, watershed 알고리즘을 이용하여 문서영상의 구조(docstrum)를 파악하고 이를 기반으로 문자를 분할한다. 제안하는 방법은 크게 엣지 검출, distance transform, watershed 알고리즘을 이용한 docstrum 분석, 문자 분할의 네 단계를 거친다. 실험 결과 블록에 기반한 기존의 방법들이 놓치는 세밀한 부분에서도 제안된 알고리즘은 올바른 분할결과를 얻을 수 있음을 확인하였다.

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Document Image Segmentation by the Statistical Distribution Analysis of Wavelet Coefficients (웨이블릿 계수의 통계적 이산 분석을 이용한 문서 영상 분할)

  • Lee, In-Sue;Kim, Min-Soo;Kim, Woo-Sung;Hahn, Kwang-Rok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.10b
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    • pp.927-930
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    • 2000
  • 본 논문은 문서 영상에 대해 투영을 사용하여 영역을 나누었고 각 영역에 대해 고주파 밴드의 웨이블렛 계수의 통계적 분산과 히스토그램을 기반으로 한 두 가지 특징을 사용하여 문자와 그림으로 분류하였다. 투영으로 나누어진 영역들에 대해 일정 크기의 블록으로 나누고 두 가지 특징에 따라 문자와 그림으로 분류하였다. 따라서 투영에 의해 나뉜 영역 중 문자와 그림이 혼합되어 의미가 모호한 영역에 대해 잘못 분류되는 가능성을 줄일 수 있었다.

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Document Image Compression Using Binary Subband Analysis and Zerotree-based Arithmetic Coder (이진 대역분할과 Zerotree 기반 산술부호기를 이용한 문서 영상 압축)

  • 김정권;김승환;이충웅
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.06b
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    • pp.45-50
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    • 1999
  • 이진 영상의 압축은 디지털 도서관, 팩시밀리 전송, 문서 입출력 시스템과 같이 한정된 대역폭과 저장 공간을 가진 응용 분야에서 절실히 요구되고 있다. 현재 많은 영상 압축 알고리즘이 채택하고 있는 대역분할 기법을 문서와 같은 이진 영상의 압축에 적용한다면, 점진적 전송, 축소영상을 통한 빠른 검색 등의 장점을 얻을 수 있다. 그러나, 이진 영상 신호가 두 단계의 휘도 값을 가지므로, 이에 적합한 대역분할 방법과 산술부호기를 선택하여야 한다. 본 논문에서는 표본화-XOR 대역분할 기법을 선택하여, 알파벳 수의 증가를 막고 공간영역에서 국부적인 성질을 얻을 수 있다 또한, 넓은 단일-색 영역을 Zerotree로 대표하여 부호화 되는 신호의 수를 줄이고, 대역분할 구조에서 예측성의 저하를 막기 위한 적절한 조건화문맥과 새로운 부호를 선택한다. 이진 영상에 적합한 대역분할 방법과 산술부호기를 선택하여, 대역분할의 장점과 우수한 압축 성능을 달성할 수 있다.

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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.

A Study on Area Color of Gwangbok-ro Based on the Analysis of the Colors of the Facade Designs of Stores Along the Road (광복로 로드숍 파사드디자인의 색채분석을 통한 지역색 연구)

  • Yeo, Mi;Lee, Chang-No
    • Korean Institute of Interior Design Journal
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    • v.22 no.1
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    • pp.247-255
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    • 2013
  • In this study, the colors and characteristics of Gwangbok-ro of Busan were analyzed in the standpoint of local images based on the examination of the facade designs of stores along the road of Gwangbok-ro, Busan a main street with massive population flow. To that end, the facades of stores, correlation with the city, color and locality were examined, and after the status of facade designs in Gwangbok-ro were identified through case survey by it, color images were analyzed. For color analysis, Munsell color system was used as basic tool. As a result of examining the colors in Gwangbok-ro area, the following status could be analyzed on 3 attributes of hue, brightness and chroma: First, analysis results of hue indicated that dominant color that covers 70% or more of the area represented mid brightness and low chroma in GY(36.1%) series, subsidiary color which covers 25% or more of the area mid brightness and low chroma in YR(26.5%) series, and accent color that covers less than 5% of the area high brightness and low chroma of GY(40%) series. Second, in brightness analysis, dominant color mostly represented mid brightness, subsidiary color mid brightness and accent color high brightness respectively. In particular accent color showed more intensive crowding phenomenon in high brightness. Third, as for chroma, dominant color, subsidiary color and accent color all are gathered in low chroma, however in small number of accent colors, peculiar high chroma appeared notable. In conclusion, the colors of Gwangbok-ro area analyzed based on the facade design of the stores along the road in this study were superficial colors that reflect the life of people in the area, artificial colors by improvement of the local environment. This study is meaningful in that the image of Gwangbok-ro was found through building colors in one part of the city Busan. It is judged that the study results would become useful as reference document in planning out environment colors later on.

A Digital Library Prototype for Access to Diverse Collections (다양한 장서 접근을 위한 디지털 도서관의 프로토타입 구축)

  • Choi Won-Tae
    • Journal of the Korean Society for Library and Information Science
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    • v.32 no.2
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    • pp.295-307
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    • 1998
  • This article is an overview of the digital library project, indicating what roles Koreas diverse digital collections may play. Our digital library prototype has simple architecture, consisting of digital repositories, filters, indexing and searching, and clients. Digital repositories include various types of materials and databases. The role of filters is to recognize a format of a document collection and mark the structural components of each of its documents. We are using a database management system (ORACLE and ConText) supporting user-defined functions and access methods that allows us to easily incorporate new object analysis, structuring, and indexing technology into a repository. Clients can be considered browsers or viewers designed for different document data types, such as image, audio, video, SGML, PDF, and KORMARC. The combination of navigational tools supports a variety of approaches to identifying collections and browsing or searching for individual items. The search interface was implemented using HTML forms and the World Wide Web's CGI mechanism.

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