• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1648-1654
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• 2007

The purpose of this study is to understand how the reality show program spread into global with a variety effects on social and cultural phenomenon, and textual analysis of TV reality show program 'Scandals' with a specific status. As a result of this study shows that TV reality show program 'Scandals' involves in a characteristic and a diversity of TV genre. On the other hand, textual analysis of TV reality show program 'Scandals' is about understanding the situation which create meaning in TV industry with a negative aspects of phenomenon. More over, TV industry creates lower cultural aspects of situation relate in someway to the target audiences to whom they are aimed.

• 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.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.1-8
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• 2015

The purpose of this research is to identify the start and end point of TV program on Web TV. Until now, to replace realtime TV advertisement with Web TV advertisement, human work was the only way. To automatize the process, knowing the start and end point of TV program is the core technology. In this study, I extract 'Black level' between TV program and regard it as start & end point of program. The result of this study is showing that extracting 'Black level' can be a useful tool to define start & end point of TV program. And it will be also use an automatize replacement system for Web TV advertisement.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.431-436
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• 2015

As a number of TV programs broadcast today, researches about TV program recommender system have been studied and many researchers have been studying recommender system to produce recommendation with high accuracy. Recommender system recommends TV program to user by using metadata like genre, plot or calculating users' preferences about TV programs. In this paper, we propose a new TV program Collaborative Filtering Recommender System that exploits viewing time pattern like viewing ratio, relation with finish time and recently viewing history to calculate preference for high-quality of recommendation. To verify usefulness of our research, we also compare our method which utilizes viewing time patterns and baseline which simply recommends TV program of user's most frequently watched channel. Through this experiments, we show that our method very effectively works and recommendation performance increases.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.333-338
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• 2006

최근 사용자에 대한 많은 정보를 얻는 것이 가능해지면서, 데이터마이닝 기법이나 Contents 추천 기법을 이용한 맞춤형 서비스가 가능하게 되었다. 특히, 대부분의 사람들에게 TV 프로그램 시청은 여가생활시간에서 가장 높은 비중을 차지 하고 있다. 따라서, 보다 지능적인 TV 프로그램 서비스를 제공하는 기술에 대하여 관심이 고조되고 있다. 본 논문에서는 TV-Anytime을 이용하여 개인화된 Electronic Program Guide (EPG)를 생성하고, 개인화된 EPG 정보를 활용하여 시청자에게 맞춤형 TV 프로그램 서비스를 제공하는 시스템에 대한 연구 결과를 제시한다. 또한 시청자의 시청패턴과 TV 프로그램 선호도를 바탕으로 시청자가 원하는 프로그램을 추천하는 TV Program Recommender Agent와 방송 및 TV 프로그램에 대한 대화를 담당하는 TV Program Helper Agent, 시스템 조정 및 메시지 전달을 담당하는 Coordinator Agent로 이루어진 멀티에이전트 기반 시스템 구조를 제시한다.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.92-104
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• 2019

This study aims to figure out perceived substitutability between video clips distributed on Naver TV cast and regular TV program. An online survey was conducted for a week on October 2017, and we collected several responses, such as viewing time, viewing motive, the extent of viewing for video clip categories, and perceived substitutability between video clips and regular TV program. The dependent variable is Naver TV cast users' perceived substitutability between video clips and regular TV program, and the independent variables are viewing time, viewing motive and viewing degree by video clip categories. With these variables, hierarchical regression was conducted. The result shows that viewing time, use motives, including personal relations, booming issue and selective use, and the extent of web-based video content viewing positively affect on Naver TV cast users' perceived substitutability.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06a
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• pp.151-158
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• 1999

This paper describes TVML (TV program Making Language) for automatically generating television programs from text-based script. This language describes the contents of a television program using expression with a high level of abstraction like“title #1”and“zoom-in”. The software used to read a script written in TVML and to automatically generate the program video and audio is called the TVML Player. The paper begins by describing TVML language specifications and the TVML Player. It then describes the“external control mode”of the TVML Player that can be used for applying TVML to interactive applications. Finally, it describes the TVML Editor, a user interface that we developed which enables users having no specialized knowledge of computer languages to make TVML scripts. In addition to its role as a television-program production tool. TVML is expected to have a wide range of applications in the network and multimedia fields.

• Food Science and Preservation
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• v.13 no.1
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• pp.102-107
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• 2006

This study explores the effects of a television program on viewers' perception of vinegar. The 97 viewers were recruited from both students majoring in Food $(13.3\%)$ and those in non-Food subjects $(86.7\%)$. In this study the participants ($31.1\%$ males and $68.9\%$ females) were exposed to a 30 minute television program on vinegar. The students were surveyed to quantitatively test the effects of the television program on a viewer's perception. The results suggest that there is a correlation between viewing this television program and changes in perceptions of vinegar. The pre-test shows that $80.0\%$ of the participants had a minimum knowledge about vinegar and $16.7\%$ of the participants had no knowledge about vinegar. Only $3.3\%$ of the participants had a sufficient knowledge about vinegar before viewing the television program. After viewing the television program on vinegar, $80.0\%$ of the participants responded that the program 'highly influenced change' in their perception of vinegar and $20.0\%$ of the participants responded that the program gave them 'moderate effects on the perception change' while $0.0\%$ of the participants answered that there was 'no change' in their perception of vinegar. While there was no significant difference found among students' prior knowledge about vinegar in terms of gender and academic major, the study found the television program viewing experience made a great impact on their perception of vinegar. This research suggests that this television program about vinegar does not only influence the viewers' perception of vinegar but also creates an overall change in perception of purchase intention, practical uses of vinegar, and vinegar-drinking.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.3
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• pp.269-295
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• 2009

The metadata elements of TV programs were designed based on PBCore (Public Broadcasting Metadata Dictionary), which is useful descriptive metadata for TV programs, and on interview results with TV program records managers. TV program information was visualized to extract core information and build a proper schema. Through this analysis, detailed metadata elements were designed in four representative areas: intellectual content, intellectual property, instantiation and extensions.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1413-1422
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• 2010

With the emergence of digital TV broadcasting, various channels are provided to a TV audience. But it is getting hard for the audience to find his or her preferred TV programs due to the huge number of TV channels. In order to mitigate the difficulty, TV broadcasting companies provide an electronic program guide (EPG), which is a digital guide to scheduled broadcast TV programs. However, it results in the information overload problem and the time-consuming problem since the number of TV channels and programs is gradually on the increase. In this paper, we design and develop a channel filtering system, which recommends a small number of channels by filtering TV channels based on the watching pattern of the TV audience. The channel filtering system does not require the replacement or upgrade of existing TV or set-top box. In addition, it increases usability by skipping the channels that broadcast the audience's non-preferred TV programs while the TV audience presses the channel up/down button.