• Smart Media Journal
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• v.13 no.2
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• pp.62-67
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• 2024

Due to technological advancements in viewing devices and the COVID-19 pandemic, a lot of OTT-only content is being produced and distributed as people shift from traditional movie theater viewing and broadcasters' fixed TV viewing to free-form OTT viewing using wired and wireless internet. As a result, the ability to leverage data from OTT audiences has become critical to the competitiveness of the industry. However, third parties other than OTT content providers are facing difficulties in acquiring OTT viewer data. In this paper, as a way to overcome the shortcomings of existing viewer data acquisition, we propose a method to extract audio and video data by developing an OTT viewing data acquisition agent using Web APIs by adopting a web browser environment that does not affect the performance of OS and viewing devices, so that third-party companies that need viewing data can utilize it.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.533-542
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• 2021

In this study, a process of re-creating Jindo Buk Chum, one of the traditional Korean arts, into digital art using various artificial intelligence technologies was proposed. The audience's emotional data, quantified through artificial intelligence language analysis technology, intervenes in various object forms in the projection mapping performance and affects the big story without changing it. If most interactive arts express communication between the performer and the video, this performance becomes a new type of responsive performance that allows the audience to directly communicate with the work, centering on artificial intelligence emotion analysis technology. This starts with 'Chuimsae', a performance that is common only in Korean traditional art, where the audience directly or indirectly intervenes and influences the performance. Based on the emotional information contained in the performer's 'prologue', it is combined with the audience's emotional information and converted into the form of images and particles used in the performance to indirectly participate and change the performance.

• Korean Institute of Interior Design Journal
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• v.15 no.1 s.54
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• pp.131-138
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• 2006

This paper compares presentation methods which are characteristic among museums of natural history in Korea. The different medium for exhibitions are divided into Specimen, Model or Panel Type Displays, Video Presentations, Sound, and Tactile Exhibits, and further classified as Fixed (A Type), Observable (B Type), or Performance Art (C Type) Displays. The museums we studied were the Seodaemun Museum of Natural History, Ewha Womans University Museum of Natural History, Seoul National Science Museum, Gyeryongsan Natural History Museum, the National Science Museum, Mokpo Natural History Museum, and the JejuDo Folklore and Natural History Museum. A study of these museums' approaches to display composition, and exhibition methods according to their exhibit types and contents, revealed the following results: The museums of natural history rely more on Fixed type displays to show information, with appropriate uses of the Observable and the Performance Art type exhibitions. Better utilization of appropriate medium is desired for display contents of Astronomy Space Earth, Minerals Rocks Geology, Animals, Plants, Insects, Prehistoric Organisms Environment, and Anthropology.

• Journal of Korea Multimedia Society
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• v.8 no.3
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• pp.389-397
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• 2005

In this paper, we study the synchronization method of animated simulations and VRs for on-line virtual reality education system. To build the data of animated simulations and synchronization modules of VRML content, the media-synchronizing technology, HTML + TIME and scripts are used. The VRML control module ismade into Java applet using the Java EAI provided for the web and the interface for VRML contents. To control the animation of VRML contents, the node information is extracted, and an animation production template capable of controlling animation in inter-connection with VRML content is made. With evaluation of the animation control performance, processing speed, synchronization performance between media in the system built, more improved results are obtained. We would like to suggest a education system with easy system construction and various multi-medium applicability by realizing HTML + TIME media synchronization and VRML web 3D virtual reality creation techniques, and animated images and 3D animation controls according to time using Java through this study.

• Journal of Korean Critical Care Nursing
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• v.5 no.2
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• pp.15-27
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• 2012

Purpose: To evaluate the applicability of Lasater Clinical Judgment Rubric (LCJR) as an evaluation tool for hypoglycemia simulation practicum on Korean nursing students. Methods: The methodological study was done to evaluate the reliability and validity of the LCJR. Based on Benner's 4 levels of nursing grading rubric, ten items of the LCJR was evaluated for interrater reliability and internal consistency. The content validity was tested by eight experts and concurrent validity was done by Clark (2006)'s clinical simulation grading rubric. Fifty five video-taped cases of senior nursing students in Y University were used for the reliability and concurrent validity of the LCJR. Results: The interrater reliability was r=.90 (p<.001); Kendall tau b=.87 (p <.001), and Cronbach's alpha was .90. A value of item content validity index of the LCJR was .97 and correlation coefficient between the LCJR and Clark's instrument was .90 (p<.001). The mean (${\pm}SD$) of the nursing students' clinical judgment was 2.04 (${\pm}50$). Conclusion: The LCJR is a useful tool to examine the simulation performance evaluation for improving competency among nursing students. The results indicated that the LCJR may provide valuable information regarding clinical judgment of nursing students and thus, suggested to use to develop a simulation-based education program.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.47-54
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• 2015

Emotional reaction of audience can be decided by observing reaction of audience for content. We can use a method to analyze visual data from video camera to detect reaction of audience fast and economically. This paper proposes the method and system to observe audience reaction from visual data of audience and define via neural network. Also we propose a new method to detect automatically an area for audience reaction with face detection to improve a fixed area assignment method which has a limitation not to adapt depending on audiences. Additionally, the evaluation is implemented to show that the proposed method and system is effective. The proposed method showed the performance elevation of 10.5 % (7.75 hit ration) compared to a fixed area assignment method.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.508-518
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• 2021

Recently as a result of covid 19, it has emphasis on the importance of non-contact. VR content has been attracting attention as an alternative to visual arts, media art, new media exhibitions and performances with limited offline activities. Although interest in 360 VR video contents such as VR contents for exhibitions and performances is increasing, research on immersion and satisfaction is focused on games and animation VR contents. In this paper, it verified the effect of the difference in the position and height of the VR camera in exhibitions and performances on the user's presence and satisfaction. For this experiment, the presence and satisfaction were measured after experiencing the VR contents of the convergence exhibition and performance filmed at different locations and heights. As a result of the experiment, the difference of VR camera's position had a significant effect on presence and satisfaction, the difference of VR camera's height had a significant effect only Realistic immersion of the presence.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.15-21
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• 2022

In the content-based video retrieval applications, the information on the movement of an object can be used as important in classifying the content. In particular, analyzing and classifying human movement can be used for various purposes as well as retrieval. In this paper, a method to improve the performance of the shape variation descriptor and shape sequence to describe and classify movement using shape information that changes according to the movement of an object is proposed. By selecting a shape descriptor to more efficiently describe the shape information of an object and comparing the distance function used to measure the similarity, the description and retrieval efficiency of movement information can be increased. Through experiments, it was shown that the proposed method can describe movement information more efficiently and increase the retrieval efficiency compared to the previous method.

• Journal of IKEEE
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• v.24 no.2
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• pp.529-535
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• 2020

As the main technology of the 4th industrial revolution, immersive 360-degree video contents are drawing attention. The market size of immersive 360-degree video contents worldwide is projected to increase from $6.7 billion in 2018 to approximately $70 billion in 2020. However, most of the immersive 360-degree video contents are distributed through illegal distribution networks such as Webhard and Torrent, and the damage caused by illegal reproduction is increasing. Existing 2D video industry uses copyright filtering technology to prevent such illegal distribution. The technical difficulties dealing with immersive 360-degree videos arise in that they require ultra-high quality pictures and have the characteristics containing images captured by two or more cameras merged in one image, which results in the creation of distortion regions. There are also technical limitations such as an increase in the amount of feature point data due to the ultra-high definition and the processing speed requirement. These consideration makes it difficult to use the same 2D filtering technology for 360-degree videos. To solve this problem, this paper suggests a feature point extraction and identification technique that select object identification areas excluding regions with severe distortion, recognize objects using deep learning technology in the identification areas, extract feature points using the identified object information. Compared with the previously proposed method of extracting feature points using stitching area for immersive contents, the proposed technique shows excellent performance gain.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.385-396
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• 2011

Internet web pages can be classified by three major types such as texts only, images with texts and videos with texts. The purpose of this paper is to analyze how customers recognize and respond perspective of perceived risk and media richness with regard to design patterns of internet web pages. Additionally, we will examine the extent to which aforementioned factors affect customer satisfaction. Analyses with perceived risks revealed that customers feel less personal risks including performance, psychology and time/convenience when used web pages of text-images and text-videos, compared to text only based web pages. However, customers feel that web pages consisting of image-text or video-text have higher points in terms of symbolism and social presence in media richness, compared to text only based web pages. Finally, we showed that personal risk and text-based Web page negatively affect but symbolism and social presence positively impact on customer satisfaction. Therefore, this study suggests a clue that why video-based Web content did not grow different from many people's expectation.