• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.91-100
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• 2011

Free viewpoint TV can provide multi-angle view point images for viewer needs. In the real world, But all angle view point images can not be captured by camera. Only a few any angle view point images are captured by each camera. Group of the captured images is called multi-view image. Therefore free viewpoint TV wants to production of virtual sub angle view point images form captured any angle view point images. Interpolation methods are known of this problem general solution. To product interpolated view point image of correct angle need to depth image of multi-view image. Unfortunately, multi-view video including depth image is necessary to develop a new compression encoding technique for storage and transmission because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method using layered depth image representation and H.264/AVC video coding technology. In experimental results, confirmed high compression performance and good quality reconstructed image.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.76-79
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• 2010

Internet of the Web-based Home Securiy, ITS (Intelligent Traffic System), the tourism industry, production field, etc In many fields, using a network camera imaging system has been spotlighted and Accordingly the demand for network cameras is growing rapidly. in order to control it according to the video server complex has a costly problem. In this paper, according to an increasing number of cameras cost and complexity of the video server problems to solve information from video cameras through multi-channel input single-channel multiplex and the fact that switching is handled and Also, the system automatically switches the image data is implemented.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.46-57
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• 2020

The dissemination of smart devices has made a lot of changes in overall social activities. In particular, people use various types of smart devices in their spare time, such as watching video clips, but there is a lack of research on external factors influencing the attitude toward using such devices. Therefore, in this study, the effects of video viewing environmental factors (e.g. screen size and video length) and personal factors (e.g. gender and need for entertainment) on perceived ease of use, perceived usefulness, and attitude to use devices based on technology acceptance model. As a result of analyzing 660 users having different smart devices, the attitude to use smart devices is more positive as the screen size increases, but there is no difference according to gender. In addition, while the length of video clips does not affect the attitude to use, the need for entertainment positively affects the attitude to use. Based on the results of this study, we expect that it can be used for optimized customer marketing and management strategy that integrates product development and video content production in consideration of factors such as video viewing environmental factors and personal factors.

• Journal of Broadcast Engineering
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• v.23 no.2
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• pp.197-205
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• 2018

Panoramic image is one of the technologies that are commonly used today. However, technical difficulties still exist in panoramic video production. Without a special camera such as a 360-degree camera, making panoramic video becomes more difficult. In order to make a panoramic video, it is necessary to synchronize the timeline of multiple videos shot at multiple locations. However, the timeline synchronization method using the internal clock of the camera may cause an error due to the difference of the internal hardware. In order to solve this problem, timeline synchronization between multiple videos using visual information or auditory information has been studied. However, there is a problem in accuracy and processing time when using video information, and there is a problem in that, when using audio information, there is no synchronization when there is sensitivity to noise or there is no melody. Therefore, in this paper, we propose a timeline synchronization method between multiple video using audio waveform. It shows higher synchronization accuracy and temporal efficiency than the video information based time synchronization method.

• The Journal of Korean Institute of Information Technology
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• v.17 no.8
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• pp.1-9
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• 2019

With the development of imaging information communication technology in modern society, imaging acquisition and mass production technology have developed rapidly. However, crime rates using these technology are increased and forensic studies are conducted to prevent it. Identification techniques for image acquisition devices are studied a lot, but the field is limited to images. In this paper, camera model identification technique for video, not image is proposed. We analyzed video frames using the trained model with images. Through training and analysis by considering the frame characteristics of video, we showed the superiority of the model using the P frame. Then, we presented a video camera model identification system by applying a majority-based decision algorithm. In the experiment using 5 video camera models, we obtained maximum 96.18% accuracy for each frame identification and the proposed video camera model identification system achieved 100% identification rate for each camera model.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.56 no.2
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• pp.126-137
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• 2020

This study collected and analyzed the fishing process of existing fishing boat and newly built fishing boat by using the video observation methods to understand the improvement of fishing operation efficiency and safety according to the scale change of coastal composite fishing boat. The fishing operation efficiency was calculated by analyzing the frequency of movement, the movement distance and the moving time per basket used in the fishing process to derive the improvement of the newly built fishing boat compared to the existing fishing boat. It was confirmed that the mean frequency of movements decreased to 13.9%, the average moving time decreased to 21.8%, the mean movement distance increased to 20.5% and the movement through the top of gunwale did not occur. Movement of frequency, increased and time according to the fishing operation were directly affected by the width of side passages and the presence or absence of walking obstruction such as bulwark stay, hatch coaming and fishing gears on deck. The results of this study are expected to be used as basic data for redesigning into a safe and efficient coastal composite fishing boat in the future.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.118-127
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• 2022

Barrage language is a new media language based on Internet video. It is a representative expression of the Internet environment regardless of its format and content. As a unique movie viewing characteristic provided by the barrage function, the timeliness of feedback, entertainment, and interactivity of the content are excellent. Characteristic. Barrage language itself is closely related not only to the value of linguistic research, but also to the spread of the Internet in the Internet environment. Based on the current situation of Chinese video sites, this thesis explores how Barrage is an organic cycle of culture and consumption in a specific platform and group, and analyzes its propagation methods and effects. By analyzing the characteristics of content production patterns unique to the barrage culture, implications and reference values for production activities of other cultures, the effect of popularization on viewers and the production and consumption of the 'barrage' culture of the industry is studied, and furthermore, the 'barrage' culture is It was designed to be a reference for the development of the platform, internet culture, and animation industry culture.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.101-107
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• 2021

Animation production is collaborated by many experts and gives many ideas for new and interesting video production. Interesting video production is a problem directly related to the success of the project, so it can be said that it is better to create an environment that is not burdened with technical aspects in expressing ideas. In the actual keyframe animation production environment, ideas are frequently modified to obtain better results, and techniques that are re-used so that the animation key pose data developed at the early stage of the possible stage can be rewritten without abandoning it, and functions that can temporarily change the center of gravity contribute to the productivity of animation work and greatly help the creator to improve the creative atmosphere. This study analyzes action animations implemented in computer animation software to examine the factors that hinder actual productivity, and derives the technical concepts that can contribute to the improvement of animation production productivity and the necessity of developing related tools.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.1-12
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• 2011

Movie contents requiring multiple shootings in places need much man power and many equipments. It is more serious in the case of multiple simultaneous shootings. In the points of small broadcasting companies, it is more difficult to cope with the situation, but it is also an essential task for the variety of video contents. We propose an one-person movie production scheme based on an IP camera-based live webcasting system which makes multiple shootings in places possible. It consists of three main functions of (1) collecting multiple video streams sent from IP cameras installed in places, (2) properly distributing them to Internet, and (3) receiving and editing them including recording video. By using the proposed scheme, we can be able to remotely utilize a new framework of Single-Person/ Multiple-Camera which beyonds the conventional Single-Person/Single-Camera framework. It becomes possible to take multiple simultaneous shoots in places. We can get an advantage of saving man power and time for producing various movie contents.

• 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.