• Cartoon and Animation Studies
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• s.41
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• pp.169-185
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• 2015

This thesis will observe and study the acting pattern and subtext of Ahn, Sung-kee who is known to be "The Nation's Actor" in South Korea's movie industry and currently has been on the screen with multiple different characters in about 120 films. He started his career as a child actor in Kim, Ki-young's movie at the age of five. Ahn is exceptional at communicating through solely on screen in terms of delivering characters' characteristics to audience with variety of characters. We provided some of the acting patterns he has shown in different roles of characters that he played such as in comedic, mellow and extraordinary acting. Following will be analysis on subtext of Professor Kim, Kyung-ho the role Ahn played in Jung, Ji-young's movie in terms of what type of factors was prepared and how it has delivered in each important scene. Generally, acting's basic skills and talents are similar between theater and movie. However, in movies, understanding of shots and preparation is needed. To deliver this well, a depth study of those characteristics such as expression method of subtext and continuous practice is necessary. Based on researches, we will talk about how important screen actors need to understand and prepare those characteristics when they act their roles and express the subtext of each character.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.101-105
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• 2010

현재 인터넷 보급의 우수한 발달로 인해 우리는 정보의 바다 또는 인터넷 시대에 살고 있다. 우리는 이러한 인터넷 시대에 살고 있는 만큼 많은 정보를 인터넷을 통하여 검색하고 원하고자 하는 정보를 인터넷을 통해 얻고 있다. 하지만 인터넷을 통하여 웹서핑 또는 정보를 검색하다보면 스팸이나 자동화 도구를 이용하여 광고성 또는 해당 정보와는 상관없는 글들이 무수히 등록되어 있는 것을 볼 수 있다. 이와 같은 것을 방지하기 위하여 CAPTCHA 시스템이 개발되었다. 하지만 기존에 존재하는 CATPCHA 시스템은 텍스트 기반의 시스템이고, 현재 쉽게 통과될 수 있는 많은 기법들이 제시되고 있다. 그리하여 우리는 이러한 단점을 보완하고자 새로운 이미지 기반의 CAPTCHA 시스템을 전 연구를 통하여 새롭게 제안했다[4]. 제안된 시스템은 일반적인 이미지에서 사각형 형태의 서브 이미지를 추출, 추출된 서브 이미지를 무작위 회전을 가하여 사용자에게 올바른 교정을 통해 사용자를 인증하였다. 우리는 이와 같은 연구를 바탕으로 본 논문에서는 서브 이미지를 추출 시 정사각형의 형태가 아닌 N다각형의 형태를 통하여 서브 이미지를 추출한다. 본 논문에서는 N다각형 형태의 서브 이미지 추출시 전 연구와는 다른 방법으로 서브 이미지를 추출하고, 실험을 통하여 사용자에게 가장 인식률이 높은 다각형을 찾고, 전 연구와는 다른 방법의 서브 이미지 추출 방법을 통해 사용자에게 보다 효과적인 서브 이미지를 제공한다. 본 논문에서 제공되는 다각형은 정삼각형에서부터 정16각형이다.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.273-282
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• 2022

The narrative of the film, Sweet Smell of Success has a multi-layered structure. In Clifford Odets's scenario work, numerous lines for the main plot and subplots repeated a cycle of creation, decomposition, deletion, and modification to enhance the density of the story. As a result, whenever an actor spoke a line or paused, an action or an event that would trigger another line was created, giving depth and persuasiveness to the character's performance. The music of Sweet Smell of Success has multi-layered elements. The non-diegetic music was covered by the orchestral pieces performed by Elmer Bernstein's big band orchestra and the jazz pieces performed by Fred Katz's combo band. The diegetic music was mostly covered by the jazz pieces performed by the Chico Hamilton Quintet. The practical task of the film music was to reinforce or supplement the effect of the narrative driver, and the additional task was to realize the estrangement effect and the aesthetics of stagnation. The possibility and significance of intertextuality of subplots and double sound of this film are not simply confined to the limits of the film noir genre.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.528-531
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• 2008

서브타이틀 데이터는 비트맵으로 된 텍스트로 MPEG-2 전송 스트림형식으로 전송된다. 본 논문에서는 셋톱박스(SetTopBox)에 사용되는 서브타이틀 분석기를 구현하는데 필요한 표준 기술을 분석하고, 윈도우 환경에서 사용가능 한 응용프로그램을 구현하는 방법을 제안한다. 특히 DVB-T용으로 제한하여 디스플레이 크기는 표준인 $720{\times}576$이다. 실제 유럽에서 방송되던 스트림을 가지고 테스트해본 결과 성공적으로 처리함을 확인하였다.

• Digital Contents
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• no.11 s.54
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• pp.46-52
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• 1997

Nikkei Telecom 21은 일본경제신문사의 종합정보시스템인 NEEDS의 서브시스템으로 인터넷으로 NIKKEI 그룹의 정보를 제공하는 온라인 데이터베이스 시스템으로 일본에서는 지난해 말부터 국내에서는 금년 8월부터 서비스되기 시작했다. 최신 뉴스를 리얼타임으로 제공하는 정보시스템인 닛케이 텔레콤 21은 텍스트정보 뿐만 아니라 화상, 영상 등을 포함한 본격적인 멀티미디어정보시스템이다.

• Journal of Fashion Business
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• v.27 no.5
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• pp.78-92
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• 2023

Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.201-208
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• 2015

With services such as SNS and facebook, Big Data popularize the use of small size such as micro blogs are increasing. However, the problem of accuracy and computational cost of the search result of big data of a small size is unresolved. In this paper, we propose a subnet selection techniques based probability to improve the browsing speed of the small size of the text information from big data environments, such as micro-blogs. The proposed method is to configure the subnets to give to the attribute information of the data increased the probability data search speed. In addition, the proposed method improves the accessibility of the data by processing a pair of the connection information between the probability of the data constituting the subnet to easily access the distributed data. Experimental results showed the proposed method is 6.8% higher detection rates than CELF algorithm, the average processing time was reduced by 8.2%.

• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.275-302
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• 2007

We propose a novel still image compression system which supports a high quality text compression function. The system segments the text from the image and compresses the text with a high quality. The system shows 48:1 high compression ratio using context-based adaptive binary arithmetic coding. The arithmetic coding performs the high compression by the codeblocks in the bitplane. The input of the system consists of a segmentation mode and a ROI(Region Of Interest) mode. In segmentation mode, the input image is segmented into a foreground consisting of text and a background consisting of the remaining region. In ROI mode, the input image is represented by the region of interest window. The high quality text compression function with a high compression ratio shows that the proposed system can be comparable with the JPEG2000 products. This system also uses gray coding to improve the compression ratio.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.13-20
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• 2022

This study is to develop a named entity recognition model specialized in criminal investigation domains using deep learning techniques. Through this study, we propose a system that can contribute to analysis of crime for prevention and investigation using data analysis techniques in the future by automatically extracting and categorizing crime-related information from text-based data such as criminal judgments and investigation documents. For this study, the criminal investigation domain text was collected and the required entity name was newly defined from the perspective of criminal analysis. In addition, the proposed model applying KoELECTRA, a pre-trained language model that has recently shown high performance in natural language processing, shows performance of micro average(referred to as micro avg) F1-score 98% and macro average(referred to as macro avg) F1-score 95% in 9 main categories of crime domain NER experiment data, and micro avg F1-score 98% and macro avg F1-score 62% in 56 sub categories. The proposed model is analyzed from the perspective of future improvement and utilization.

• The Transactions of the Korea Information Processing Society
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• v.7 no.10
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• pp.3262-3271
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• 2000

Continuous media objects, due to large volume and real-time consiraints in their delivery,are likely to consume much network andwidth Generally, proxy servers are used to hold the fiequently requested objects so as to reduce the network traffic to the central server but most of them are designed for text and image dae that they do not go well with continuous media data. So, in this paper, we propose a two-layered network cache management policy for continuous media object delivery on the wide area networks. With the proposed cache management scheme,in cach LAN, there exists one LAN cache and each LAN is further devided into a group of sub-LANs, each of which also has its own sub-LAN eache. Further, each object is also partitioned into two parts the front-end and rear-end partition. they can be loaded in the same cache or separately in different network caches according to their access frequencics. By doing so, cache replacement overhead could be educed as compared to the case of the full size daa allocation and replacement , this eventually reduces the backbone network traffic to the origin server.