• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.576-580
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• 2004

In this paper, we present a design and implementation of a TV-Anytime compliant STB to provide personalized content consumption according to user preferences and various terminal/network conditions. This paper mainly details with a metadata engine which consists of meta data de-multiplexing, metadata decoding, and metadata-based content browsing. For personalized content consumption, the proposed metadata engine provides the following key functionalities: advanced EPG, non-linear segment navigation wirh Tables-of-Content and/or event-based summary, automatic recommendation of user-preferred programs, and etc. The implemented STB employing the metadata engine is successfully tested with a set of service scenarios in an end-to-end broadcasting test-bed.

• Journal of Korea Multimedia Society
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• v.10 no.5
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• pp.642-651
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• 2007

Recently, digital convergence, whose core demand is OSMU (One Sourse Multi Use),has been the main topic in e-learning domain and industry. However, the existing web learning content and the new resource developed toprovide contents to different learning environment must be processed to adapt the new learning settings, which causes the cost and time problem, So in this paper we design and implement a Java based SCORM content transcoding system which can transcode the SCORM-based learning content into MHP-based DiTV content in order to adapt t-learning environment using DiTV, which is closer to our real life. Using this system which has ability of inter-operation, reuse, highly-use, the problem mentioned above can be solved well. Moreover, it is possible for a learner who is not familiar with computer to study using DiTV instead of PC.

• Journal of Communications and Networks
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• v.17 no.3
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• pp.296-305
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• 2015

Coupled schemes between service-oriented architecture (SOA) and Web 2.0 have recently been researched. Web-based content providers and telecommunications company (Telecom) based Internet protocol television (IPTV) providers have struggled against each other to accommodate more three-screen service subscribers. Since the advent of Web 2.0, more abundant reproduced content can be circulated. However, because according to increasing device's resolution and content formats IPTV providers transcode content in advance, network bandwidth, storage and operation costs for content management systems (CMSs) are wasted. In this paper, we present a user centric CMS for open IPTV, which integrates SOA and Web 2.0. Considering content popularity based on a Zipf-like distribution to solve these problems, we analyze the performance between the user centric CMS and the conventional Web syndication system for normalized costs. Based on the user centric CMS, we implement a social Web TV with device-aware function, which can aggregate, transcode, and deploy content over social networking service independently.

• Journal of Broadcast Engineering
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• v.9 no.4 s.25
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• pp.345-356
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• 2004

In this paper, we present a design and implementation of a personalized broadcasting system using TV-Anytime metadata for providing personalized 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, which includes ECG (Electronic Content Guide) and content descriptive information in a PDR (Personal Digital Recorder)-centric environment. The proposed personalized broadcasting system consists of a server that provides metadata binary-coding, encapsulation and multiplexing, and a client terminal that takes charge of de-multiplexing, metadata decoding, and metadata processing for personalized content accessing and consumption. This paper presents the details of the design of each functional module, and the evaluation results with a set of service scenarios in an end-to-end broadcasting test-bed.

• Convergence Security Journal
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• v.10 no.4
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• pp.93-99
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• 2010

Smart TV, Internet content and interactive services are available, the operating system to mount the Web, App Store, you can enjoy a variety of content. Smart TV market, TV replacement cycle is long, watching for changes in the way copyright issues such as adaptation period and, unlike the case of a smart phone TV market in the short term are expected to occupy will not find, if IPTV, satellite, cable and real-time TV platform for broadcasters to adopt a smart, smart TV market could spread more quickly than expected. Long term, Google, Apple, TV gajeonsa and broadcasters to compete with various companies through the process of expanding the TV market is smart, the media are expected to dominate the market. Smart TV with the latest technology-related research and to investigate the Smart TV, Smart TV is designed based widgets. Widgets on the desktop, mobile, IPTV, etc. can be implemented in various environments and various features and types of users already are using the widget. In particular the advantages of the widget can be implemented to meet the needs of the users, because users to more efficiently and meet their desired widget. In this paper, propose Smart-TV-based Baby management widget.

• 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.

• ETRI Journal
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• v.29 no.2
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• pp.169-178
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• 2007

With the advent of ubiquitous computing environments, it has become increasingly important for applications to take full advantage of contextual information, such as the user's location, to offer greater services to the user without any explicit requests. In this paper, we propose context-aware active services based on context-aware middleware for URC systems (CAMUS). The CAMUS is a middleware that provides context-aware applications with a development and execution methodology. Accordingly, the applications based on CAMUS respond in a timely fashion to contextual information. This paper presents the system architecture of CAMUS and illustrates the content recommendation and control service agents with the properties, operations, and tasks for context-aware active services. To evaluate CAMUS, we apply the proposed active services to a TV application domain. We implement and experiment with a TV content recommendation service agent, a control service agent, and TV tasks based on CAMUS. The implemented content recommendation service agent divides the user's preferences into common and specific models to apply other recommendations and applications easily, including the TV content recommendations.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.6
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• pp.737-741
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• 2010

When implementing Enhanced TV services, the time synchronization between the video stream that forms the background and the data contents overlaid on audio/video is an important issue. Currently, however, the basic method of synchronizing the data in the MPEG-4 environment is based on absolute time values. For more efficient synchronization when developing Enhanced TV content, this paper proposes a content-based synchronization in which the data content varies depending on the video content. The proposed content-based synchronization method is implemented by defining BIFS nodes more widely, based on scene keywords, and then using the metadata of MPEG7.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.577-590
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• 2016

We studied the current state-of-the-art of Smart TV, the challenges and the drawbacks. Mainly we discussed the lack of end-to-end solution. We then illustrated the differences between Smart TV and IPTV from network service provider point of view. Unlike IPTV, viewer of Smart TV's over-the-top (OTT) services could be global, such as foreign nationals in a country or viewers having special viewing preferences. Those viewers are sparsely distributed. The existing TV service deployment models over Internet are not suitable for such viewers as they are based on content popularity, hence we propose a community based service deployment methodology with proactive content caching on rendezvous points (RPs). In our proposal, RPs are intermediate nodes responsible for caching routing and decision making. The viewer's community formation is based on geographical locations and similarity of their interests. The idea of using context information to do proactive caching is itself not new, but we combined this with "in network caching" mechanism of content centric network (CCN) architecture. We gauge the performance improvement achieved by a community model. The result shows that when the total numbers of requests are same; our model can have significantly better performance, especially for sparsely distributed communities.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.7-13
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• 2015

Recently, there are serviced user customized advertisement of various type using smart device. Representative services are advertisement service using light of smart TV screen or audible sound of smart TV to transmit advertisement information. However, those services have to do a specific action of smart device user for advertisement information or need audible audio information of TV contents. To overcome those weakness, therefore, we propose an advertisement method using inaudible sound of speaker based on smart device. This method supports the transfer of advertising content to the smart device user with no additional action or TV audio signal required to access that content. The proposed method used two high frequencies among 18kHz ~ 22kHz of audible frequency range which smart TV can send out. And it generates those frequencies synthesized with audio of TV contents as trigger signal which can send advertisements to smart device. Next, smart device analysis the trigger signal and request advertisement contents related to the signal to server. After then, smart device can show the downloaded contents to user. Because the proposed method uses the high frequencies of sound signals via the inner speaker of the smart device, its main advantage is that it does not affect the audio signal of TV content. To evaluate the efficacy of the proposed method, we developed an application to implement it and subsequently carried out an advertisement transmission experiment. The success rate of the transmission experiment was approximately 97%. Based on this result, we believe the proposed method will be a useful technique in introducing a customized user advertising service.