• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.99-105
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• 2021

In addition to the OTT video production service represented by Nexflix and YouTube, a personalized recommendation system for content with artificial intelligence has become common. YouTube's personalized recommendation service system consists of two neural networks, one neural network consisting of a recommendation candidate generation model and the other consisting of a ranking network. Netflix's video recommendation system consists of two data classification systems, divided into content-based filtering and collaborative filtering. As the online platform-led content production is activated by the Corona Pandemic, the field of virtual influencers using artificial intelligence is emerging. Virtual influencers are produced with GAN (Generative Adversarial Networks) artificial intelligence, and are unsupervised learning algorithms in which two opposing systems compete with each other. This study also researched the possibility of developing AI platform based on individual recommendation and virtual influencer (metabus) as a core content of OTT in the future.

• Journal of Korean Academy of Nursing
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• v.42 no.7
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• pp.936-946
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• 2012

Purpose: This study was done to develop a video discharge education program focusing on mother-infant interaction to facilitate the development of maternal role confidence for mothers of premature infants. Methods: The process of the program was based on the Network-based Instructional System Design suggested by Jung (1999). For the content of the program, needs and concerns of mothers of premature infants found on web sites and existing literature were analyzed. Based on this content, the scenario and the video were developed. Nurses and mothers of premature infants participated in the process of testing the content validity, scenario development, and evaluation of final video production. The final video has two parts and lasts 21 minutes. The first part focuses on mother-premature infant interaction and the second part focuses on health management of infants. Results: Eleven mothers of premature infants participated in the evaluation of the appropriateness of the video as a teaching method and for educational content. They reported that the content on mother-infant interaction, maternal sensitivity, and maternal role confidence was especially beneficial. Conclusion: The findings indicate that video program is effective for education on maternal-premature infant interaction and the use of video in practical settings is strongly recommended.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.243-249
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• 2007

In this paper we introduce a system that assists news reporters to easily edit source video anywhere, and transfer the result from a remote site to the station. Presently reporters are bothered to edit source materials, compress and transfer using several separate tools. Moreover such tools have lots of too complicated features to use only for news production. We have integrated file sending and video editing functions together for seamless workflow. News programs usually need promptness in production. For this reason our system is designed to make it possible the one-stop production of news items outside the TV station. Also the system reflects the demands of field workers, that is, easy usage for the beginner and features for speedy news production. One of the most focused is that the reliability of the system is guaranteed in the process of transfer. To achieve this end, we have implemented several error-resilient schemes for unexpected network errors. Our system consists of remote laptop editing terminals and a newsgathering server. DV-format based editing and analog-to-DV converting device are adopted to capture video from not only lightweight DV camcorders but also old-fashioned ENG cameras into laptop computers. We expect that news reporters and cameramen can take terminals anywhere the Internet is available and both editing and sending will be done on the spot. This will help increase the competitive power of our news production.

• Cartoon and Animation Studies
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• s.49
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• pp.53-85
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• 2017

This study deals with the production system of the superhero animation that are based on DC comic books and are produced by Warner Brothers company, and tries to find out ways in order to vitalize the new window of the animation market. 28 superhero animations released from 2007 until 2017 are analyzed. Several critical points are drawn out and can be applied to the Korean animation industry. There are two categories, one is about the management of the production system, and the other is about the subcontract system. In managing the production system, there are three points: First, there are several people who play the role of either a producer or a director many times. Second, producers used to work as a group. Third, some people work not only as a producer but also as a director. In carrying out outsourcing contracts, there are six points: First, only Korean and Japanese companies participate as subcontract companies. Second, about two companies used to take part in the subcontract production in a year. Third, in case of number of people involved in production, there are more Japanese than Korean. Fourth, Japanese companies deal with some parts of the pre-production as well as the main production in . Fifth, a Japanese company has a sub-subcontract with a Korean company in one episode of . Sixth, Korean companies mostly focus on the production part of key animation. Important points that the Korean production system has to consider are also suggested under the two categories. In the production system management, there are two points. It is needed to make use of the group producer system, and it is critical to develop the story line of universe type such as DC Universe. In case of the outsourcing production system, it is essential to keep up educating 2D type of animation and, at the same time, to participate actively in the global outsourcing production. By considering these crucial points, it is expected to keep producing animation that can be used for the media window such as IPTV.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.58 no.2
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• pp.175-184
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• 2022

This study analyzed the allocation of the skipper's attention during fishing operation in the wheelhouse of a Korean coastal composite fishing vessel by using video observation. To summarize the results, the ratio of lookout, radar and GPS monitoring, which is essential for prevention of collision at sea, was significantly lower than that of other fishing operation due to the attention concentration on the work place during hauling line. In order to reduce exposure to risk of collisions due to concentration of attention to certain tasks such as line hauling, it is necessary to develop an alert system that can notify the approach of other ships or obstruction throughout the ship using information from radar or the automatic identification system. In addition, the order of attention allocation to devices and facilities obtained in this study is expected to be used as basic data for device or facility layout based on the principle of usage frequency in designing wheelhouse for coastal composite fishing vessels in the future.

• Journal of Animal Science and Technology
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• v.62 no.2
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• pp.276-291
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• 2020

This study was conducted to investigate behavioral changes in laying hens (Hy-Line Brown) after transfer to a multi-tier system from the floor system and to examine their production performance. The hens were randomly divided into two groups and were allocated to the multi-tier system and the floor system at a commercial farm. Behavior of the laying hens was recorded by CCD (charge-coupled device) cameras and a digital video recorder. The data were scanned every 2 min to obtain an instantaneous behavioral sample or were immediately counted whenever the hens exhibited a designated behavior. Behavior changed dramatically during the first seven days. Egg production was higher in the multi-tier system, while cracked and dirty eggs were more frequent in the floor system (p < 0.05). No differences in mortality rate or egg quality were observed between the groups. In conclusion, the hens needed at least seven days to adapt to the multi-tier system. The multi-tier system was more efficient than the floor system in terms of production performance.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1243-1244
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• 2022

In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.482-484
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• 2017

Over the past 70 years, movies and television have revolutionized the way people communicate. However, even with this development, TV has been used only as a means of communication targeting an unspecified number of people due to the restriction of media such as radio waves and movies. However, the development of the Internet and online video has come to a time when 100 million people watch YouTube videos uploaded from the other side of the world by eliminating these restrictions. The message that you want to deliver now can be delivered to anyone, but making the image with these messages remains the last obstacle to communication. To solve these problems, we implemented a web application and a video production program through AWS. This system basically provides the administrator with the video production through the easy interface, the information management and the program on the server on the internet through AWS, the assigned lecture including the computer and the smart phone, the learning materials, And implemented to increase the efficiency of educational video production service.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.146-151
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• 2019

In this paper, we developed a multi-view video content based on real-world technology and a pilot using the production technology, and provided realistic contents production technology that can select a desired direction at a user 's view point by providing users with various viewpoint images. We also created multi-view video contents that can indirectly experience local cultural tourism resources and produced cyber tour contents based on multi-view video (realistic technology). This technology development can be used to create 3D interactive real-world contents that are used in all public education fields such as libraries, kindergartens, elementary schools, middle schools, elderly universities, housewives classrooms, lifelong education centers, The domestic VR market is still in it's infancy, and it's expected to develop in combination with the 3D market related to games and shopping malls. As the domestic educational trend and the demand for social public education system are growing, it is expected to increase gradually.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1096-1103
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• 2019

Today the influence of digital video media grows bigger due to the development of information and telecommunication gradually and most of juveniles spend a number of image contents with their smart phones and computers. And they not only consume such image contents but also upload the videos they make at YouTube or Vimeo by recording and editing them by themselves. As we learned from such phenomenon, the education of media that uses and expresses the video in various environment such as making, reading and expressing video media is very important. The education of using the advance digital device and software of producing image contents is essential as current education of media cannot be discussed without that. This study treats the education of media based on the view point of education on image contents production. It discusses the education method that we can learn from the process of image contents production based on Non-Linear Editing System.