• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.434-445
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• 2018

This study examined whether mobile OTT video service substitutes home TV by using 3 screen data of Nielson-KoreanClick. According to the 2SLS estimation results, when the time spent on mobile OTT video service increased by 1% p, the time spent watching home TV decreased by 12.4%. The results also showed that 1%p increase in the time spent using YouTube app and the mobile OTT video services provided by telecommunication company(Oksusu, Alleh TV, VideoPortal) reduced the time spent on watching terrestrial channels on TV by 16.2% and 23.9%, respectively. The displacement of mobile OTT video service on home TV will be accelerated in the near future. In order to resolve the issue of regulatory unfairness with pay TV services and to safeguard viewer's interests, discussions to establish regulation for OTT video services should be taken place more quickly.

• Proceedings of the Korean Magnestics Society Conference
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• 2002.12a
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• pp.128-129
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• 2002

최근 컴퓨터의 계산속도가 빨라짐에 따라 데이터를 가지고 실시간 영상처리에 대한 많은 연구가 이루어지면서 인터넷을 이용한 온라인 게임, PC 게임, 방송 등의 엔터테인먼트 산업에서 멀티미디어 시장이 증가하게 되고 동영상 및 3차원 영상매체를 제작하는데 복합적 고도 기술의 필요성이 대두되어지고 있다. (중략)

• Journal of Broadcast Engineering
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• v.21 no.4
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• pp.525-537
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• 2016

In this paper, we develop an online video mash-up system which use automatic scene elements composition scheme using a storyboard. There are two conventional online video production schemes. Video collage method is simple and easy, but it was difficult to reflect narrative or story. Another way is a template based method which usually select a template and it replaces resources such as photos or videos in the template. However, if the related templates do not exist, there are limitations that cannot create the desired output. In addition, the quality and atmosphere of the output is too dependent on the template. To solve these problems, we propose a video mash-up scheme using storyboard and we also implement a classification and recommendation scheme based on topic modeling.

• (The) Korean Journal of Advertising
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• v.28 no.3
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• pp.53-81
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• 2017

As online video advertising market grows, viral advertising is drawing attention. This study investigated factors influencing consumer's sharing intent of viral advertising each from four dimensions which are content, sender, consumer, and network. As a result, factors of persuasive intent, brand-ad image fit, perceived self-presentation, and bridging social capital were found to affect consumer's sharing intent of viral advertising. And persuasive intent of content was found to be negatively affect consumer's sharing intent. Social value and bonding social capital were not found to have significant influence on consumer's sharing intent of viral advertising. From the analysis of this result, this study suggested future research topic and academic/practical implications.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1303-1312
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• 2018

The study analyzed the evaluation of the advertisement effect by the score and the method of the advertisement comments in ad evaluation in online site, 'TVCF'. The results are as follows. First, Internet viral advertisement showed higher number of ad comments and higher evaluation of advertisement effect than cable broadcasting advertisement. Second, the results of analysis of the difference of advertisement evaluation according to ad types and digital user characteristics showed that women are more positive than men toward both cable broadcasting and internet viral advertisement.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.37-50
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• 2022

This study intends to analyze the learning effect of asynchronous online classes used in education fields around the world after the COVID-19 pandemic. To this end, we compared and analyzed the lecture evaluation and final exam questions of the HTML5 web programming course, which was conducted offline in 2019 and asynchronously online in 2020 due to COVID-19. As a result of the analysis, no significant difference was drawn between the two teaching methods in the lecture evaluation score and final exam score. However, contrary to concerns about the application of online classes to the entire curriculum, the lecture evaluation and final exam scores of the video-based online classes were high, suggesting the possibility that online classes could be more effective than offline classes if well organized and managed in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05b
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• pp.959-962
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• 2003

멀티미디어 서비스 수요의 증가는 네트워크 상에서 기존의 문자기반의 컨텐츠 제공 서비스의 수요를 이미 앞질렀으며 네트워크와 시스템 자원의 발전에 따라 사용자 요구는 그에 따라 더욱 폭 넓게 증가하고 있다. 우수한 품질의 동영상 데이터를 온라인 상에서 품질 저하 없이 서비스 받을 수 있는 것을 넘어 사용자는 컨텐츠에 파생되는 부가의 서비스를 요구하게 되었고 이는 기존의 텍스트 정보에 의한 양방향 서비스가 아닌 사용자의 요구에 따른 멀티미디어 컨텐츠 자체에 대한 서비스를 위한 정보시스템이 필요하게 되었음을 의미한다. 본 논문에서는 객체 단위의 동영상을 실시간으로 합성하여 이를 사용자에게 즉시 서비스하는 양방향 멀티미디어 서버 시스템의 설계와 구현에 대해 기술하였다. 구현된 시스템은 사용자에게 일방적인 데이터를 전송하는 기존의 시스템과 달리 적용 가능한 객체 단위 동영상을 합성 전송하고 자동 추출된 실시간 오브젝트를 다양한 배경화면과 함께 합성하여 서비스 할 수 있는 기능 구조를 가진다. 또한 멀티미디어 서버의 주요 목표를 반영하여 확장과 성능을 고려한 클러스터 On-Demand 서버를 구성하였으며 서버와 서비스 관리를 위한 모든 구성요소를 포함하여 실제 서비스가 가능한 완전한 미디어 시스템을 설계 구현하였다.

• Digital Contents
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• no.8 s.123
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• pp.116-117
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• 2003

폭발적인 모바일 콘텐츠의 범람 현상을 우리는 현재 목도하고 있다. 벨소리나 온라인 게임 등은 이미 수익원으로 공인받은 상태이고, IMT2000 서비스를 통한 동영상 콘텐츠의 개화도 진행 중에 있다. 하지만 이런 장밋빛 예상과 기대 뒤에는 콘텐츠를 어떻게 하면 잘 보호할 수 있을까라는 문제가 복병처럼 숨어 있다. 이 문제는 바로 콘텐츠 보호를 책임질 DRM기술과 직접적인 관련이 있다고 해도 과언이 아니다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.99-105
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• 2021

In addition to the OTT video production service represented by Nexflix and YouTube, a personalized recommendation system for content with artificial intelligence has become common. YouTube's personalized recommendation service system consists of two neural networks, one neural network consisting of a recommendation candidate generation model and the other consisting of a ranking network. Netflix's video recommendation system consists of two data classification systems, divided into content-based filtering and collaborative filtering. As the online platform-led content production is activated by the Corona Pandemic, the field of virtual influencers using artificial intelligence is emerging. Virtual influencers are produced with GAN (Generative Adversarial Networks) artificial intelligence, and are unsupervised learning algorithms in which two opposing systems compete with each other. This study also researched the possibility of developing AI platform based on individual recommendation and virtual influencer (metabus) as a core content of OTT in the future.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.677-687
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• 2018

The purpose of this study is to investigate the causes of pre-roll ads played before watching online video contents, and to investigate the using motives by dividing them into broadcasting contents clips and web original contents. The results show that broadcast contents clips have higher use of entertainment/habitual use and social interaction, and that the use time of web content is higher when entertainment/convenience and selective use motivation are higher. Second, perceived invasion has the greatest effect on ad avoidance in broadcasting contents clip, and positive attitude toward advertisement is a significant factor in web contents. Content factors such as content preference and engagement did not affect the avoidance of pre-roll ad.