• Journal of Korea Game Society
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• v.18 no.1
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• pp.83-94
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• 2018

This study is to analyze the difference of satisfaction according to the usage motivation of Live video streaming and characteristics of the adopter(early adopters, late adopters). For this purpose, we conducted a survey of 283 people in the age of 10~30 using AfreecaTV. As a result of the study, users spending daily hours on watching Afreeca TV showed a positive effect on the usage motivation. It shows only one difference in education level between the demographic characteristics, based on the adopter characteristics. Also the differences in the satisfaction factors were found to be habits, communication, entertainment accessibility in the early adopters and accessibility, credibility, habits, accessibility were significant influences on the late adopters.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.1-8
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• 2008

Overlay Multicast is an effective method for optimal utilization of system resources and network bandwidth without a need for hardware customization. It is an effective method of providing Personal Internet Broadcasting Service for better Quality of Service to many users. In this paper, we propose a multicast tree that uses Local Swap method. In order to prove the effectiveness of the new technique suggested here, using the proposed method and personal internet broadcasting service, information is abstracted, compared and analyzed under various overlay multicast algorithm conditions. We have proved that the suggested local swap technique is more effective by comparing it with other existing techniques in various methods such as using various overlay based multicast algorithm simulation.

• Annual Conference on Human and Language Technology
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• 2009.10a
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• pp.116-120
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• 2009

최근 IPTV 상용화와 디지털 방송 본격화는 사용자에게 다양한 방송 프로그램을 제공한다는 장점도 있지만, 동시에 수많은 프로그램을 탐색하여 선별해야 하는 부담을 주고 있다. 이러한 불편함을 해소하고자 최근에는 사용자 선호도와 방송 프로그램 정보를 이용하여 사용자 취향에 맞는 프로그램을 자동으로 추천하는 서비스의 요구가 증대되고 있다. 또한 궁극적으로 방송 서비스가 '개인화'와 '개방화'의 형태로 진행되고 있다는 점을 감안하면, 추천 서비스는 TV 프로그램 뿐만 아니라 광고도 포함해야 하며, 다중 언어를 지원하는 형태로 발전되어야 한다. 본 논문에서는 다중 언어를 지원하는 개인화된 TV 프로그램 및 광고 추천 서비스를 위한 하나의 시스템을 제안한다. 우리는 먼저 사용자 시나리오를 작성하고, 기능 요구사항들을 분석하여 시스템 구조를 설계한다. 그리고 다중 언어를 지원하는 시스템에서의 한글 처리 방법도 간단히 설명한다. 본 연구는 현재 유럽 공동기술 개발 사업 과제의 일환으로 진행되고 있어, 여기에서는 현 시점의 결과물인 시나리오, 시스템 구조 설계, 한글 처리까지 소개하고 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.32-33
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• 2022

팬데믹이후 온라인 커뮤니케이션이 가속화되면서 개인화의 현상이 두드러지고 있는 가운데 도시의 정보시스템의 많은 부분들이 디지털 트윈으로 가고 있다. 때문에 오프라인의 사이니지 등은 이미 개인화에 익숙한 사용자에게 만족도나 낮고 이를 반영하여 다양화시키기에는 많은 예산이 소요되며 물리적 한계가 있다. 본 연구는 사용자 중심 프로세스의 기술 융합 연구를 통해 이러한 오프라인 정보 표기와 전달 등의 문제점을 해결하고자 하였다. 본 논문은 이러한 목적을 가지고 개인화 기반 도시 인포메이션 시스템의 물리적 사이니지와의 정보 데이터 간의 상호운용을 실현화하는 연구를 진행하였다. QR 코드 등 비쥬얼 코드-기반 기존의 인터랙션 기술들의 장점을 활용하고 AI 기반의 필터 시스템을 도입하여 도시 복합정보데이터와 개인데이터와의 연동 및 변별 시스템을 설계하여 AR서비스 환경을 디자인 하였다. 개인화 서비스를 위하여 'Personal Data'와 타사용자의 'Feedback Data를 기존의 클라우드 정보와 AI-Analytic-Process에 개입시켜서 개인화 기반의 서비스 시스템 모델로 개발하였다.

• Journal of Broadcast Engineering
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• v.12 no.4
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• pp.321-332
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• 2007

The digitalization of a broadcast has caused the oversupply of the contents in order to fit the user's needs for various broadcast services. The massive contents could not help demanding one-sided watching without considering a taste and preference of a user. This situation is enlarging the demand about the personalized broadcast service to enable user to watch broadcast contents in anytime according to surplus provision of broadcast contents. TV-Anytime standard could be a solution for broadcast service to enable users to watch personalized broadcast contents according to their preference. The paper proposes the personalized broadcasting system for authoring, receiving and transmission of TV-Anytime metadata, the detailed information about the broadcast contents so that user could efficiently search a large of broadcast contents stored in the PDR(Personal Digital Recorder)receiver under the DCATV(Digital Cable Television) environment.

• Journal of Broadcast Engineering
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• v.23 no.2
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• pp.253-260
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• 2018

Personalized media broadcasting services can produce their own broadcasting contents with a variety of creative themes if they have just a transmission platform and devices that can obtain videos and voices of producers without the existing expensive equipment. In this paper, we develop and implement a new broadcasting system by applying this service framework to events such as seminars or academic conferences. The devices can be installed at each conference rooms and the integrated system transmitted to users. They can watch via their multi-resolution screen, such as smart-phones, laptops, and tablet PCs. It has the advantage of being able to receive real-time streaming and VOD services as well as additional information related to the conference. It is expected to provide convenience by allowing attendees to access the information via their devices, thereby creating an impact on participation and the underlying technology for the future research.

• Journal of Broadcast Engineering
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• v.11 no.3 s.32
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• pp.284-301
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• 2006

In this paper, we present a design and implementation of a TV-Anytime metadata authoring tool for providing personalized data-broadcasting services. The TV-Anytime specifies metadata schema, metadata coding and delivery, and provides service models to provide personalized broadcasting content services at anytime when users want to consume using metadata including ECG (Electronic Content Guide) and content descriptive information in a PDR (Personal Digital Recorder)-centric environment. In spite of a useful services based on TV-anytime metadata, the metadata authoring still remains as a harassing and time consuming task. For easy metadata authoring, the proposed metadata authoring provides the following key functionalities: metadata visualization, media access, and semi-automatic method for editing segment related metadata.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.121-134
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• 2021

As interest in stock markets is growing recently in Korea, more investors in their twenties are using the information provided by personal broadcasting channels on YouTube. This study explores how watching the stock market channels on YouTube influences watching behaviors and investment intentions. A structural equation modeling analysis of survey data from 219 adults in the twenties revealed that the perceived credibility of and para-social interaction with the YouTube influencers affected continued viewing intentions. The findings also showed that the effect of identification with the influencers on viewing satisfaction was more prominent when identification mediated the effect of para-social interaction on viewing satisfaction. Theoretical and practical implications were discussed.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.64-67
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• 2007

본 논문은 EPG(Electronic Program Guide) 및 TV-Anytime 메타데이터를 이용하여 TV 시청자에게 개인형 편성 방송 프로그램 서비스를 제공 하기 위한 시스템의 설계 및 구현에 관한 것이다 기존의 사용자 맞춤형 방송 서비스는 TV 시청자가 시청하기 원하는 독립적인 프로그램 수준의 방송을 TV시청자가 원하는 시간에 선택하고 시청할 수 있는 서비스에 초점이 맞추어져 왔다. 본 논문에서는EPG메타데이터 및 세그먼트 메타데이터를 활용하여 TV시청자가 원하는 시간에 시청하기 원하는 프로그램 수준의 방송뿐만 아니라, 해당 프로그램의 시청하기 원하는 일부 방송들을 편성하고, 편성된 세그먼트 방송을 TV시청자의 시간 스케줄에 따라 시청할 수 있는 서비스 모델을 제시하고 구현 하였다.

• Journal of Broadcast Engineering
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• v.14 no.5
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• pp.625-637
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• 2009

With advent of TV environment and increasing of variety of program contents, users are able to experience more various and complex environment for watching TV contents. According to the change of content watching environment, users have to make more efforts to choose his/her interested TV program contents or TV channels than before. Also, the users usually watch the TV program contents with their own regular way. So, in this paper, we suggests personalized TV program schedule recommendation system based on the analyzing users' TV watching history data. And we extract the users' watched program patterns using the sequential pattern mining method. Also, we proposed a new sequential pattern mining which is suitable for TV watching environment and verify our proposed method have better performance than existing sequential pattern mining method in our application area. In the future, we will consider a VoD characteristic for extending to IPTV program schedule recommendation system.