• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2723-2728
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• 2013

Due to the popularity of smart phones based on personal propensities and individual lifestyle changes customerized services is increasing interest in the individual. The system for personalized services make a difference in the public institutions, museum of science and history. In particular, museums and art galleries have a common motivation which is sightseeing. Museum for the history and science education a national purpose that is put, unlikely art gallery. Museum of science and History, unlike the theme parks have a combination of entertainment and education as a public institution is a large consensus. In order to achieve this objective, exhibits raise a sufficient commitment to and the exhibits should be described by age. Using augmented reality combined with effective entertainment and education measures, we propose the effective smart guide service strategies for museum.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.3
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• pp.57-67
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• 2007

Researchers in mobile AR systems have so far put the value on the technical challenges involved in the limitations imposed from mobility. Beyond such immediate technical questions, however, are questions regarding the possible contents that are to be used for the user’s interaction in ubiquitous computing environment. Various aspects of context of user and environment can be utilized easily as well as effectively. Moreover, the environment will be equipped with lots of pervasive but invisible computing resources. However, it is difficult for users to have access to those computing resources. At the same time, as the smart appliances get to have more features, their user interfaces tend to become harder to use. Thus, in this paper, we propose Context-Aware Mobile Augmented Reality (CAMAR) system. In our system, users only need to take a picture of smart appliances with a built-in camera in a mobile device when they intend to control the appliances. It lets users interact with the smart appliances through personalized control interfaces on their mobile devices. Also, it supports enabling contents to be not only personalized but also shared selectively and interactively among user communities.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.447-454
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• 2022

In the era of the 4th industrial revolution, we are living in a flood of information. It is very difficult and complicated to find the information people need in such an environment. Therefore, in the flood of information, a recommendation system is essential. Among these recommendation systems, many studies have been conducted on each recommendation system for movies, music, food, and clothes. To date, most personalized recommendation systems have recommended clothes, books, or movies by checking individual tendencies such as age, genre, region, and gender. Future generations will want to be recommended clothes, books, and movies at once by checking age, genre, region, and gender. In this paper, we propose a recommendation system that recommends personalized clothes and food at once according to the user's emotions and weather. We obtained user data from Twitter of social media and analyzed this data as user's basic emotion according to Paul Eckman's theory. The basic emotions obtained in this way were converted into colors by applying Hayashi's Quantification Method III, and these colors were expressed as recommended clothes colors. Also, the type of clothing is recommended using the weather information of the visualcrossing.com API. In addition, various foods are recommended according to the contents of comfort food according to emotions.

• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.43-58
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• 2013

Richmedia Service means that interactive media service can provide view with various multimedia elements(such as Video, Audio, Text) at same time. Various Multimedia elements can be serviced by Scene Description technology standards like BIFS(Binary Format for Scenes) and LASeR(Light Application Scene Representation). By providing Scene Component information, richmedia service is available to various multimedia services. so users is available to personalized services fitting temporal and spatial options. In conventional technology, when the scene is changed by user or service, mobile deletes the scene of configuration information and makes new scene of configuration information. this is a very inefficient way. In this paper, Propoesed that by using DOM(Document Object Model) method, to pass only the dynamic configuration part, changes scene method.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.113-124
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• 2017

The existing social search has a problem that search results are not suitable for a user since it does not take into account the recency of the user profile and the interests of similar users. Therefore, studies on a social search considering a temporal attribute and the interests of other users are required. In this paper, we propose a social search scheme that takes into account the recent interests of a user by time and the interests of the most similar users. The proposed scheme analyzes the activity information of a social media user in order to take into account the recent interests of the user. And then the proposed scheme improves the satisfaction and accuracy of search results by combining the interests of similar users with the analyzed information and performing ranking, It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.277-280
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• 2021

Recently as various contents are mass produced based on high accessibility, the media contents market is more active. Users want to find content that suits their taste, and each platform is competing for personalized recommendations for content. For an efficient recommendation system, high-quality metadata is required. Existing platforms take a method in which the user directly inputs the metadata of an image. This will waste time and money processing large amounts of data. In this paper, for media hyperpersonalization recommendation, keyframes are extracted based on the YCrCb color model of the video based on movie trailers, movie genres are distinguished through supervised learning of artificial intelligence and In the future, we would like to propose a utilization plan for generating metadata.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.55-56
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• 2010

소셜 네트워크가 웹 2.0의 대표적 서비스로 자리 잡으면서 이를 이용한 다양한 서비스가 등장하고 있으며 그 중 포탈 서비스도 예외는 아니다. 하지만 포탈과 소셜 네트워크의 융합은 마이크로 블로그 형태의 소셜 네트워크 서비스를 포탈 화면에 실시간 검색으로 공개하는 정도에 그치고 있을 뿐이다. 본 논문에서는 마이크로 블로그의 open API 서비스를 이용하여 사용자의 인적 네트워크와 윈도우업 데이터를 추출한 후 키워드 도출 가중치 식을 통해 소셜 네트워크 내의 이슈가 되는 키워드를 도출한다. 도출된 키워드는 포탈 서비스에 융합되어 사용자의 소셜 네트워크 내 이슈 키워드와 관련된 정보제공서비스를 할 수 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.143-146
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• 2004

본 논문은 시청자 개개인의 선호도 정보(user preference)를 이용하여, 컨텐츠 제공자(content provider)로부터 개인화 된 비디오 요약을 제공받을 수 있는 맞춤형 방송 서비스를 제안한다. 제안하는 방송 서비스는 다채널의 디지털 방송 환경에서 시청자들에게는 채널선택의 편의성과, 컨텐츠 제공자들에게는 시청자들이 자신들의 컨텐츠에 대한 소비를 촉진시키는 기능을 제공한다. 따라서, 본 논문에서는 개인화 된 비디오 요약 서비스를 제공하기 위해, TV-Anytime에 기반한 사용자 선호도 정보를 이용하는 시스템 스킴(scheme)을 제안한다. 제안하는 방송 서비스의 유효성을 테스트하기 위해 영화 장르의 비디오에 대해서 이벤트(event)들을 세그먼트(segment)하고, 해당 선호도 정보에서 추론된 선호 이벤트 정보에 따라 비디오 요약(video skim)을 생성하고, 시청자 단말에 제공하는 실험을 수행한다.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.1
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• pp.51-59
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• 2016

The progression of broadcasting technology changed the previous analogue broadcasting system into digital, which in result allowed several broadcasting programs to be transmitted as one stream by multiplexing. This multi channel environment interferes with audience to choose the program they want. EPG acts as supporter in this multi channel environment. The existing EPG system is limited in providing searching function with title, genre, date and Wish-list in multi-media environment. Thus, this thesis proposes new type EPG using PSIP information modification to respond with the change of broadcasting market. This type of EPG can be applied to several kinds of broadcasting systems.

• Korean journal of communication and information
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• v.71
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• pp.9-32
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• 2015

The media, traditionally, serves to reinforce one's limited memory and transform those personal memories of society's members into collective memories. Notably, the mass media collects countless pieces of personalized memories for the creation of collective memories. Through the process of recollecting as well as recreating the past in the present, mass media exerts influence on the means the public appreciates and understands the history. Although numerous new medias like Internet overflows in today's society, television continues to stand firm as the salient means to construct the memories in daily lives. In this context, the research aims to analyze the televised news as the principal agent of memory producer to determine through which memories it recreates the $5{\cdot}18$ in today's media. The analysis of news values clarifies that every government placed distinctive news values on $5{\cdot}18$ within its historical context. Even so, such values were often fixed based on its relations to the existing political issues. Furthermore, through the discourse analysis, this research concludes that today's coverage of $5{\cdot}18$ is softening and becoming conventional.