• Journal of the Korean Geographical Society
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• v.41 no.2 s.113
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• pp.227-243
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• 2006

This paper reviews how electronic media technologies involve and produce time-space dimensions in geometrical spaces, focusing on four theoretical perspectives: van Dijk's dual structure of networks as scale extension and reduction; Latour's actor-networks as fluid and hybrid networks; Virilio's dromospherical time as global media vectors; and Castells' timeless time as non-sequential flows. In these four theoretical perspectives, we can see that electronic media technologies involve different and multiple time-space dimensions in geometrical media spaces: from the two-dimensional spaces (surfaces) of concentric circles, through the one-dimensional spaces (lines) of actor-networks to the zero-dimensional spaces (points) of dromospherical time and finally to the multi-dimensional spaces (hypertexts) of timeless time. The paper concludes by suggesting that we need to explain electronic media spaces not only in terms of geometrical media spaces but also in terms of geographical media spaces in order to understand the ways in which electronic media spaces are dis/embedded in geographical spaces.

• Journal of KIISE
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• v.43 no.3
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• pp.370-379
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• 2016

Recently personal media were produced in a variety of ways as a lot of smart devices have been spread and services using these data have been desired. Therefore, research has been actively conducted for the media analysis and recognition technology and we can recognize the meaningful object from the media. The system using the media ontology has the disadvantage that can't classify the media appearing in the video because of the use of a video title, tags, and script information. In this paper, we propose a system to automatically classify video using the objects shown in the media data. To do this, we use a description logic-based reasoning and a rule-based inference for event processing which may vary in order. Description logic-based reasoning system proposed in this paper represents the relation of the objects in the media as activity ontology. We describe how to another rule-based reasoning system defines an event according to the order of the inference activity and order based reasoning system automatically classify the appropriate event to the category. To evaluate the efficiency of the proposed approach, we conducted an experiment using the media data classified as a valid category by the analysis of the Youtube video.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.1049-1058
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• 2020

'Instagrammable' is a new term which means a photo or a series of pictures are worth posting on Instagram. Since Instagram is an image-oriented social media platform, it is important to give users proper awareness through images in order to be an instagrammable post. In this study, we explored the proper delivery method of messages within instagrammable posts through the use of hashtags(#). Specifically, we paid attention to the use of 'Card News', which involves a series of images that form a short narrative. Hashtags play an important role that they often describe sharing intention of the post, and we found analyzing the use of hashtags in Card News posts is a good indicator of users' Instagram activities. Currently, there are more than 580k posts are found with the search keyword Card News, and the number is increasing. In this study, we collected and analyzed more than 50k hashtags on Instagram to explore how news stories are posted from both the general users and news media accounts. Furthermore, we conducted interviews with journalists to analyze how news media are making use of Instagram as a legitimate place to share news stories with impact.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1087-1095
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• 2015

Influenza, commonly known as "the flu", is an infectious disease caused by the influenza virus. We consider, in this paper, regression models as a prediction model of influenza disease. While most of previous researches use mainly the meteorological variables as a predictive variables, we consider social media information in the models. As a result, we found that the contributions of two-type of informations are comparable. We used the medical treatment data of influenza provided by Natioal Health Insurance Survice (NHIS) and the meteorological data provided by Korea Meteorological Administration (KMA). We collect social media information (twitter buzz amount) from Twitter. Time series model is also considered for comparison.

• Korean Institute of Interior Design Journal
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• v.21 no.1
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• pp.127-135
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• 2012

Recently, the public design plays a role in improving the residents' quality of life and activating the local economy as an axis of the regional development. However, during the development process led by the local government, the public space has been changed to a place where only the function is emphasized without considering the local history, culture, and life. Since the opinions of the regional residents are not reflected, the public place lacks public benefits and has difficulties in continuous improvement and development. Here, we studied on the participation of residents in public design. Firstly, we discussed public design that residents can participate voluntarily and actively as users, managers, and beneficiaries. Secondly, it is necessary for the residents, who are not experts in the public design, to have easily understandable and well tractable communication media which facilitate communications with a group of the design experts and the public service personnel. We explained the types and specialities of the communication media. Thirdly, it is necessary for the residents to contribute much to the local development by active participation in the sustainable and consistent public design through using the easily accessible communication media.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.66-76
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• 2020

We The 4th industrial revolution, the core characteristics of super-intelligence, hyper-connective, and ultrareality, has been actualized. New technologies such as artificial intelligence, big data, the Internet of Things, and high-tech video have begun to be applied to media and advertising. With the introduction of new technologies in the advertising field, innovative changes in advertising types, advertising effects, advertising methods, and advertising contents are expected. Accordingly, We intends to design a future advertising roadmap development by predicting how future advertising will change and develop through future technologies in the 4th industrial revolution era. To design the roadmap, this study analyzes changes in advertising technology, consumer, and media as changes in the advertising environment in the 4th industrial revolution era, and identifies the core changing trends, advertising factors in future advertising through the Delphi Survey on experts in advertising and future fields. We identifies how the future advertising technology, types, media, effects, and fields are developed by the changes of future advertising environments, including technology, consumers, and media in the 4th industrial revolution era. Hence it is expected to help the advertising industry and experts to prepare for future changes.

• Journal of Broadcast Engineering
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• v.14 no.1
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• pp.15-27
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• 2009

As various portable digital devices are developed, the space of the TV audience is expanding. We propose a structure of broadcasting control in VOD service in which viewers can resume the viewing of digital broadcasting contents in different devices after they have stopped the viewing to move to another place. Then we design a session and resource management system of VOD for this control. In particular, we design the session management of each consumer and simulate the seamless VOD connection model.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.35-57
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• 2022

Purpose - This study aims to conceptualize the construct of social media (SM) fatigue. Design/methodology/approach - A qualitative approach is employed to understand how SM users currently perceive (or interpret) the goals of SM usage and to conceptualize SM fatigue and its dimensions. We collected data through in-depth interviews of three SM users and group discussions among eighty SM users. Findings - we draw a definition of SM fatigue from a resource view that excessive SM use might lead to SM fatigue by depleting the internal resources of SM users. Further, through the analysis of the qualitative data from interviews and group discussions, we find the multi-dimensional nature of SM fatigue and identify five dimensions of SM fatigue-fatigue from the social obligation to interact with people, the importance of self-appearance, the quality of information, the quantity of information, and undesirable events-and common sources of fatigue in each dimension. Research implications or Originality - The conceptualization of SM fatigue elaborated in this study could enable scientific exploration of the role of SM fatigue in users' attitudes or behavior formation and change. On a practical front, this study would be valuable to companies by facilitating systematic investigations of their customers' fatigue through the lens of the SM fatigue dimensions.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.120-125
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• 2000

We propose a semi-automatic and dynamic indexing algorithm for multi-media database(e.g. movie files, audio files), which are difficult to create indexes expressing their emotional or abstract contents, according to user's sensitivity by using user's histories of access to database. In this algorithm, we simply categorize data at first, create a vector space of each user's interest(user model) from the history of which categories the data belong to, and create vector space of each data(title model) from the history of which users the data had been accessed from. By continuing the above method, we could create suitable indexes, which show emotional content of each data. In this paper, we define the recurrence formulas based on the proposed algorithm. We also show the effectiveness of the algorithm by simulation result.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.385-391
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• 2021

3D modeling of the human body is an integral part of computer graphics. Among them, several studies have been conducted on hair modeling, but there are generally few studies that effectively implement hair and face modeling simultaneously. This study has the originality of providing users with customized face modeling and hair modeling that is different from previous studies. For realistic hair styling, We design and realize hair segmentation using FCN, and we select the most appropriate model through comparing PSPNet, DeepLab V3+, and MobileNet. In this study, we use the open dataset named Figaro1k. Through the analysis of iteration and epoch parameters, we reach the optimized values of them. In addition, we experiment external parameters about the location of the camera, the color of the lighting, and the presence or absence of accessories. And the environmental analysis factors of the avatar maker were set and solutions to problems derived during the analysis process were presented.