• Title/Summary/Keyword: Text Localization

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Systematic Approach for Detecting Text in Images Using Supervised Learning

  • Nguyen, Minh Hieu;Lee, GueeSang
    • International Journal of Contents
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    • v.9 no.2
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    • pp.8-13
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    • 2013

  • Locating text data in images automatically has been a challenging task. In this approach, we build a three stage system for text detection purpose. This system utilizes tensor voting and Completed Local Binary Pattern (CLBP) to classify text and non-text regions. While tensor voting generates the text line information, which is very useful for localizing candidate text regions, the Nearest Neighbor classifier trained on discriminative features obtained by the CLBP-based operator is used to refine the results. The whole algorithm is implemented in MATLAB and applied to all images of ICDAR 2011 Robust Reading Competition data set. Experiments show the promising performance of this method.

  • https://doi.org/10.5392/IJoC.2013.9.2.008 인용 PDF KSCI

Localization of Chinese Version of Jeju Tourism Organization's Official Version 'Visit Jeju' - Centered on Contents Selection and Translation (제주관광공사 '비짓제주' 중문 홈페이지의 로컬라이제이션 연구 -콘텐츠 선정과 번역 텍스트를 중심으로)

  • Hong, Weiwei
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.535-547
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    • 2019

  • Website localization not only means to transliterate the content and text of the original language web pages, but also adjust it according to the culture and demand of the target language market, so as to improve the acceptance of the local market. From the perspective of localization, this paper analyzes localization strategies and shortcomings of Chinese pages of Jeju official tourist website 'visit Jeju'. First, by comparing the differences between the Chinese web pages and the Korean web pages in the content and text, the localization of the website is summed up, and then the differences are compared with the local tourism website 'Mafeongwo' in China. Not only offering and suggestions for improving the translation quality in the Chinese web pages of 'Visit Jeju'. but also the making some further suggestions for the other Korean websites.

  • https://doi.org/10.5392/JKCA.2019.19.01.535 인용 PDF KSCI HTML