• Journal of Digital Convergence
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• v.14 no.8
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• pp.423-429
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• 2016

The study evaluates user experiences of YouTube and Vimeo, typical Video-sharing websites, to suggest guidelines that are more user-cantered and useful. I did some literature research followed with evaluation of theoretical backgrounds, present conditions and future services. Also, I used the six principles of "Creating Pleasurable Interface" by Stephen Anderson to conduct an in-depth interview. The results indicate that YouTube needs to improve availability of its functions and usability by reducing advertisement. Vimeo needs to improve its popularity by increasing popular contents and add relationship service such as personal broadcasting system and community services. I expect this study will become a good resource for upgrading user experiences of Video-sharing websites. I also believe that this study can guide other studies about user experience in other fields.

• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.553-563
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• 2019

As the number of videos uploaded on live streaming platforms rapidly increases, the demand for providing highlight videos is increasing to promote viewer experiences. In this paper, we present novel methods for predicting highlights using chat logs and audio data in videos. The proposed models employ bi-directional LSTMs to understand the contextual flow of a video. We also propose to use the features over various time-intervals to understand the mid-to-long term flows. The proposed Our methods are demonstrated on e-Sports and baseball videos collected from personal broadcasting platforms such as Twitch and Kakao TV. The results show that the information from multiple time-intervals is useful in predicting video highlights.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.675-678
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• 2014

One time, Home video game console's penetration was as comparable to the personal computer's penetration, growth has slowed since the advent of smartphones, tablets and moblie devices. But game console actively introducing new IT technologies not available in the pc games and mobile games, still keeping a firm position in the relevent market. In this paper Home video game console's history, contemporary trends, and learn about trends in the company, New IT technologies applied to gaming was analyzed. Home video console market become the arena of New IT technologies according to the introduction of New IT technologies such as gesture recognition technology, speech recognition technology, media facade technology, virtual reality technology.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.47-54
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• 2022

Recently, with the development of deep learning technology, research on recognizing human behavior is in progress. In this paper, a study was conducted to recognize risky behaviors that may occur in a single-person household environment using deep learning technology. Due to the nature of single-person households, personal privacy protection is necessary. In this paper, we recognize human dangerous behavior in privacy protection video with Gaussian blur filters for privacy protection of individuals. The dangerous behavior recognition method uses the YOLOv5 model to detect and preprocess human object from video, and then uses it as an input value for the behavior recognition model to recognize dangerous behavior. The experiments used ResNet3D, I3D, and SlowFast models, and the experimental results show that the SlowFast model achieved the highest accuracy of 95.7% in privacy-protected video. Through this, it is possible to recognize human dangerous behavior in a single-person household environment while protecting individual privacy.

• The Research Journal of the Costume Culture
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• v.30 no.1
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• pp.121-144
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• 2022

This study analyzed the effects of fashion creators' innovativeness and attractiveness on consumer response and orientation toward a sustainable relationship in personal media. A survey was conducted with consumers aged in their 20s and 30s who had experience in sharing video content or writing comments and participating in fashion creators' real-time broadcasting of personal media. The results show that the innovativeness of fashion creators was classified into originality, opinion leadership, variety, and adventurous spirit, while attractiveness was classified into physical, social, and professional attractiveness. Consumer responses were classified into either emotional or cognitive responses, and sustainable relationship orientation was classified into communication, sharing, and relationship sustainability. The originality and variety of the fashion creators positively affected the emotional and cognitive responses of consumers. Adventurous spirit positively affected emotional response, whereas opinion leadership positively affected cognitive response. In addition, the social and professional attractiveness of fashion creators positively affected consumers' emotional and cognitive responses. Emotional and cognitive responses positively affected consumers' sustainable relationship orientation. The originality and opinion leadership of the fashion creators positively affected the three factors of sustainable relationship orientation, while variety positively affected communication and relationship sustainability. Fashion creators' social and professional attractiveness positively affected the three factors of sustainable relationship orientation, and physical attractiveness positively affected relationship sustainability. The results of this study are expected to provide useful data on the direction of fashion startups using personal media and marketing as well as distribution strategies in the fashion industry.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.37-46
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• 2019

The PRODUCE 101 (Chinese version《创造101》) program is an "Idol Nurture" reality show bought by China's Tencent Video from the copyright of the Korean PRODUCE 101 program. The program's "Idol Nurture" pattern is concentrated in the four aspects of the "Semi-finished" training objects, the complementary nurturing goals, the key points of storytelling, and the extreme empowerment of training subjects. The "Idol Nurture" process is fully presented through the programming of the training processes inside entertainment companies, and the foregrounding of the back stages of the recording, trainees and entertainment companies. The "Idol Nurture" pattern of the program has attracted great attention and has been applauded by many because it better satisfies audiences' diversion utility, personal relation utility, and personal identity utility. This pattern of "Idol Nurture" program can provide insightful reference and valuable experience to the development of other reality talent shows.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.645-655
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• 2016

The purpose of this study is to search shot clip' using variables influencing on the VOD purchase intention and watching intention of real-time broadcasting. This research focused on usage motivation, usage experience such as use time, time of utilization, genre, utilization pattern. Controlling demographic factors, results show that personal relation, benefit against whole broadcast, education genre, watching video, video sharing and recommendation were statistically influential to VOD purchase intention. And, results show that flexibility of use, drama/movie genre, read and write comments were statistically influential to watching intention of real-time broadcasting.

• Journal of Broadcast Engineering
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• v.19 no.1
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• pp.24-30
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• 2014

This study investigates computing offloading effect of cloud in real-time video personal broadcast service, whose server is mobile device. Mobile device does not have enough computing resource for encoding video. The computing burden is offloaded to cloud, which has abundant resources in terms of computing, power, and storage compared to mobile device. By reducing computing burden, computation energy can be saved while transmission data amount increases because of decreasing compression efficiency. This study shows that the optimal operation point can be found adaptively to time-varying LTE communication condition result of tradeoff analysis between offloaded computation burden and increase in amount of transmitted data.

• The KIPS Transactions:PartD
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• v.10D no.6
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• pp.1041-1048
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• 2003

This paper implements a remote image based metering(IBM) system which capture meter image, recognizes number automatically, and send the data wirelessly through PCS data network. We use existing gas/water meter and get NTSC camera image by installing small monochrome CMOS camera on the meter closely. For remote data transfer, we use SMS (short message service) that is provided by commercial PCS network. We developed DVR(digital video recorder) for capturing meter image and character recognition algorithm. In addition, hardware and software for SMS and meter selector were developed.

• Convergence Security Journal
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• v.17 no.5
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• pp.49-55
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• 2017

In case of security of IoT-based areas in ICBM industry, the anxiety about safety goes to extremes in public and national safety area, so that the demand for security service related to disaster/safety management is increasing. Like this, as a security service for safety, CCTVs are installed/operated for the purpose of maintenance of public order and crime prevention. Especially, as the recorded images are presented as crucial evidences of crimes, they are rapidly increasing. However, as adverse effects of CCTVs, it is highly possible to unintentionally leak personal information in the process of performing the original purpose, or to violate someone's privacy in case when such technologies are abused. Therefore, it would be necessary to have researches on the multilaterally-combined mechanism for the protection of image privacy.