• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.43-50
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• 2009

Text information in a digital video provides crucial information to acquire semantic information of the video. In the proposed method. text candidate regions are extracted from input sequence by using characteristics of stroke and text candidate regions are localized by using projection to produce text bounding boxes. Bounding boxes containing text regions are verified geometrically and each bounding box existing same location is tracked by calculating matching measure. which is defined as the mean of absolute difference between bounding boxes in the current frame and previous frames. Finally. text regions are enhanced using temporal redundancy of bounding boxes to produce final results. Experimental results for various videos show the validity of the proposed method.

• Korean Journal of Child Studies
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• v.38 no.1
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• pp.77-93
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• 2017

Objective: The purpose of this study was to develop a text-based media literacy program and to examine its effects on young children's understanding and expression of media text. Methods: The participants were 54 5-year-old kindergarteners assigned to an experimental or a control group, with 27 children per group. The text-based media literacy program was based on the ADDIE model and was administered to the experimental group for 8 weeks. The pre- and post-test instruments measured media text understanding and expression ability and were patterned after those used by British Film Institute (2003) and other major studies. Results: The experimental group showed higher levels of media text understanding and expression than the control group. Conclusion: The results are discussed with respect to their implications for educational practice and future research.

• Journal of KIISE:Software and Applications
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• v.26 no.1
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• pp.167-167
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• 1999

The majority of text categorization systems use the term-based classification method. However, because of too many terms, this method is not effective to classify the documents in areal-time environment. This paper presents a real-time concept-based text categorization system,which classifies texts using thesaurus. The system consists of a Korean morphological analyzer, athesaurus tool, and a probability-vector similarity measurer. The thesaurus tool acquires the meaningsof input terms and represents the text with not the term-vector but the concept-vector. Because theconcept-vector consists of semantic units with the small size, it makes the system enable to analyzethe text with real-time. As representing the meanings of the text, the vector supports theconcept-based classification. The probability-vector similarity measurer decides the subject of the textby calculating the vector similarity between the input text and each subject. In the experimentalresults, we show that the proposed system can effectively analyze texts with real-time and do aconcept-based classification. Moreover, the experiment informs that we must expand the thesaurustool for the better system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.693-694
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• 2023

본 논문에서는 FastText 알고리즘을 기반으로 한 사용자 지정 키워드 기반 동영상 요약 시스템을 제안한다. 사용자가 키워드를 입력하면 시스템은 해당 키워드와 관련된 단어들을 FastText를 통해 추출하며, 이를 STT (Speech-to-Text)로 변환된 동영상에서 타임 스탬프 기반으로 인식한다. 인식된 키워드와 관련된 내용은 클립 형식으로 요약되어 사용자에게 제공된다. 본 연구의 목적은 숏폼 콘텐츠 환경에서 효과적인 콘텐츠 추출 및 제공을 통해 사용자 경험과 정보 제공의 효율성을 향상시키기 위함이다. 제안된 시스템은 사용자 지정 키워드에 맞춰 다양한 동영상 플랫폼에서 효율적인 영상 요약을 제공함으로써 온라인 동영상 환경에서 큰 혁신을 이끌어낼 것으로 기대된다.

• Journal of Korean Medical classics
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• v.34 no.1
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• pp.37-45
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• 2021

Objectives : The purpose of this paper was to examine quantitative methods for estimating and detecting local text reuse in the texts of East Asian Traditional Medicine. Methods : We introduce techniques that estimate the volume of local text reuse with n-gram and those that directly detect the reuse with the Smith-Waterman algorithm (SW algorithm). Based on this, the estimation and detection of local text reuse were carried out for 『Donguibogam』 and 『Huangdineijing·Suwen』. Results : Estimates with n-gram had more errors than methods with SW algorithms. SW algorithms detected suspected strings directly with local text reuse, resulting in more accurate results. Conclusions : Although n-gram does not accurately find local text reuse, its high speed makes it a preferable method for certain purposes, such as screening similar documents. On the other hand, SW algorithms have the advantage of being relatively good at finding similar phrases suspected as local text reuse even if the strings do not completely match. However, due to its excessive consumption of time and computing resources, its benefits are limited to cases where precise results are required.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.410-422
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• 1997

In this paper, we descried a bottom-up document structure analysis method in bilingual Korean-English document. We proposed a character segmentation method based on the layout information of connected component of each character. In many researches, a document has been analyzed into text blocks and graphics. We analyzed a document into four parts: text, table, graphic, and separator. A text is recursively subdivided into text blocks, text lines, words, and characters. To extract the character in bilingual text, we proposed a new method of word of word separation of Korean or English. Futhermore, we used a character merging and segmentation method in accordance with the properties of Hangul on the Korean word blocks. Experimental results on the various documents show that the proposed method is very effectively operated on the document structure analysis and the character segmentation.

• Journal of the Korean housing association
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• v.25 no.6
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• pp.101-109
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• 2014

It was early in the $20^{th}$ century when the space was begun to say through the mutual circumstances of form and contents. Adrian Forty explained that the characteristics of space can be divided into three steps by the period: a space of enclosure, a space as continuum and a space as an extension of the body. And there is common condition that all three spaces are accompanied by the form. In the new thinking of architectural form in terms of text in modern society, architecture becomes to more complex to understanding. Saying that there is nothing outside text (Il n'y a rien en dehors du text.) in the world, Jacques Derrida insisted the world to be texted and not to be special centrality, where can be existed by difference and delay its meaning. Text is the structural meaning (sign), not a metaphorical one (symbol). Without the symbol, the architecture can be recognized as text with signing to the form. For that, there is a question how can be explained the space in terms of text extracting the meaning and the symbol. Absolutely not intended by Mies van der Rohe, but in his works of houses and pavilion, its characteristics and traces of text can be seen. If it is possible to analyse his works in the textual view, space of Mies will be found in the same direction of text. And it will be an important opportunity to re-evaluate the space of Mies works standing in the heart of Modern Architecture.

• Smart Media Journal
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• v.5 no.3
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• pp.30-34
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• 2016

Nowadays, there are a lot of Korean documents, which often need to be identified in one of printed or handwritten text. Early methods for the identification use structural features, which can be simple and easy to apply to text of a specific font, but its performance depends on the font type and characteristics of the text. Recently, the bag-of-words model has been used for the identification, which can be invariant to changes in font size, distortions or modifications to the text. The method based on bag-of-words model includes three steps: word segmentation using connected component grouping, feature extraction, and finally classification using SVM(Support Vector Machine). In this paper, bag-of-words model based method is proposed using SURF(Speeded Up Robust Feature) for the identification of machine printed and handwritten text in Korean documents. The experiment shows that the proposed method outperforms methods based on structural features.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.183-189
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• 2021

This study examines the effects of Korean college students' English proficiency and the English text types on their paraphrases. Korean college students with three groups of English proficiency (high, mid, and low) read two types of English texts, causal texts, and argumentative texts, and paraphrased them in English. Students' paraphrase text was evaluated in terms of content (idea exposition, idea development, and wrap up), organization (coherence and cohesion) and language use (grammatical accuracy), and analyzed by MANOVA. As a result, it was found that there was a significant difference in their paraphrase performance according to the participants' English proficiency levels rather than the types of English texts. The results of this study have educational implications for English paraphrase education to prevent plagiarism for Korean university students.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.459-469
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• 2024

Optimizing text entry in extended reality (XR) is important. However, most studies have focused on inputting alphabetic characters, so there is still insufficient research on inputting Korean characters. As a follow-up to our previous research, this paper deals with the effects of keyboard layout and augmented position on Korean text entry in the XR environment. For this purpose, we developed a virtual keyboard environment using the representative Korean keyboard layout "Du-Beol-Sik" across three augmented positions: mid-air, physical planar surface, and palmar surface. After conducting an experiment, we analyzed the effects of keyboard layout and augmented position on text entry by comparing the results of our previous research (the effect of augmented position on text entry based on the international standard Korean keyboard layout 'Chon-Ji-In'). The analysis results confirmed that the virtual keyboard performed the best overall when augmented in mid-air regardless of the keyboard layout. It was also confirmed that the keyboard layout had little effect on text entry. Based on detailed analyses, we suggest directions for providing a virtual keyboard for Korean text entries in the future.