• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.107-112
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• 2024

One More Pumpkin won the grand prize at the 2023 Dubai International AI Film Festival, and new possibilities were also opened through the International AI and Metaverse Film Festival (GAMFF), which was held for the first time in Korea. Generative works began to stand out in earnest, with 527 diverse works from 42 countries at home and abroad using AI and metaverse technology submitted to this contest. AI is being used in a variety of fields, including the creation and implementation of digital characters through combination with VFX, improving the efficiency of video production, and managing the overall video production process. This contributes to saving human and material resources required for production and significantly improving the quality of produced videos. However, generative AI also has ambiguity in copyright attribution, ethical issues inherent in the learned dataset, and technical limitations that fall short of the level of human emotion and creativity. Accordingly, this study suggests implications at the level of production, screening, and use, as generative AI may have an impact in more areas in the future.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.10-17
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• 2007

The purpose of this study is to reduce the group bully phenomenon of mildly mentally retarded(MR) students in middle schools. Video digital contents have been developed and applied to the class. As a result, the normal students' perception of MR students has improved drastically. Especially in the case of students who appeared in the film; their perception has changed a lot more than the students who didn't. Also, the students showed a tendency to recognize the scenes that were produced intentionally by the researcher In conclusion, it is effective to alter a student's attitude through the self-modeling video contents. Particularly, the self-modeling video contents that made by researcher's precise educational goal are more effective on the alteration of the students' perception and behaviors.

• Electronics and Telecommunications Trends
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• v.32 no.5
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• pp.39-48
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• 2017

Since the world's first 3D commercial film with red-blue glasses was introduced in 1922, remarkable progress has been made in the field of 3D video. 3D video content gained enormous popularity with the movie "Avatar," which greatly increased the sale of 3D TVs. This momentum has weakened owing to lack of 3D content. However, the recent trend of virtual reality (VR) and augmented reality (AR) made 360 VR video and 3D games using a head mounted display wide spread. All these experiences mentioned above require wearing glasses to enjoy 3D content. Super multi-view content technology, on the other hand, enables viewers to enjoy 3D content without glasses on a super multi-view display. In this article, we introduce the technologies used to make super multi-view content, interact with it, and author content, which are developed by ETRI.

• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.792-797
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• 2013

4D film is just a film that made by adding some physical effects to 3D film or general film. In order to provide physical effects to the audience, the data that make the physical effect must be added to each frames. In this paper, we proposed a video detection system that can efficiently provide physical effects by assessing the present situation such as explosion scene, snowing scene. The proposed video detection system contains an algorithm for fire detection by using R color and $C_r$ value, and also an algorithm for snow detection by using RGB color model. The system constitutes in a MCU that from 8051 family. In the performance evaluations, the result shows that 91% of detection rate in case of fire and 25% of false detection rate in case of snow. Also the system is capable of providing physical effects automatically.

• Journal of the Korea Society of Computer and Information
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• v.20 no.6
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• pp.87-97
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• 2015

An Aerial video summarization is not only the key to effective browsing video within a limited time, but also an embedded cue to efficiently congregative situation awareness acquired by unmanned aerial vehicle. Different with previous works, we utilize sensor operation mode of unmanned aerial vehicle, which is global, local, and focused surveillance mode in order for accurately summarizing the aerial video considering flight and surveillance/reconnaissance environments. In focused mode, we propose the moving-react tracking method which utilizes the partitioning motion vector and spatiotemporal saliency map to detect and track the interest moving object continuously. In our simulation result, the key frames are correctly detected for aerial video summarization according to the sensor operation mode of aerial vehicle and finally, we verify the efficiency of video summarization using the proposed mothed.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.255-261
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• 2013

On the study of latest internet based video service diffusion of global broadcasting market. Code cutting of Pay broadcasting user because of Crisis of the pay market. On the other hand OTT(Over-The Top) service growth is pay-TV competitors. Accordingly this study perceived ease of use, perceived usefulness and satisfaction for analysis of internet based video service user. Analysis centered of correlation, regression that perceived ease of use, perceived usefulness and satisfaction.

• Journal of Broadcast Engineering
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• v.2 no.1
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• pp.24-35
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• 1997

Basic and transmission video quality testing was performed in real-time mode using hardware video codec based on MPEG-2 MP@ML standard including subsequent transmitting and receiving satellite simulator unit. The double-stimulus Impairment scale method and the double-stimulus continous quality scale method based on CCIR 500-5 were used as an evaluation method. The whole digital broadcasting satellite system consisting of MPEG-2 codec, system mux/demux, channel codec, channel, modem, antenna, etc. was put into the overall video quality testbed and the basic and transmission error quality assessment was performed at various bitrates and BER for an integrated system performance evaluation. In transmission error video quality testing, transmission error video quality maintained on average above 3.9 point on the 5-point scale. The low-bit rate quality such as film mode(@2Mbps) highly depended on the statitical characteristics of video source and maintained on average around 2.7 point.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.69-76
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• 2022

This paper summarizes the features and functions of game video on each platform through a study on streaming technology. Game videos have a high relationship with game content itself for the purpose of marketing and disseminating game play methods using games as the subject matter. The video length is short and it is easy to spread. The main types of game video content are game commentary, game strategy, funny, imitative, music video, and game information. As a game promotion video function, etc., it is used as a direct or indirect publicity for the game by the producer and the user for each reason. This article analyzed the production subject and production conditions of game videos, focusing on the production process. The production subject is divided into professional creators, non-professional creators, and general users. The motive for producing game videos is mainly to obtain economic benefits. The production process was extracted and presented through examples of game videos.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.65-73
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• 2020

Viral video advertising is being used in the advertising and film industry for pre-promotion of certain products or pre-release films which has a lot of effect on investment. An analysis of viral video recognition is needed to predict future development directions. In response, the study conducted a survey on viral videos, focusing on college students in their 20s, who are the most exposed to advertisements and movies. Through this, the survey was conducted on recognition of viral videos, memorable viral videos, satisfaction level, message propagation method, positiveness of viral videos, expected future development, and desired viral video type. The survey showed that viral video recognition was 16.7% and the most memorable viral video; the "Let it Go" viral video from the movie "Frozen" was 69.1 %, according to the survey. The satisfaction level was not high at 31.2 %, and 73.5% of people sent messages to others after watching viral videos, which was very high. Negative opinions on viral videos were low at 13.7 %. 64.5% of the surveyors said the future of the viral videos would "develop" and 6.7% said would "not develop."

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.1
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• pp.111-121
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• 2011

Intelligent video analysis systems require techniques which can predict accidents and provide alarms to the monitoring personnel. In this paper, we present an abnormal behavior analysis technique based on adaptive background generation. More specifically, abnormal behaviors include fence climbing, abandoned objects, fainting persons, and loitering persons. The proposed video analysis system consists of (i) background generation and (ii) abnormal behavior analysis modules. For robust background generation, the proposed system updates static regions by detecting motion changes at each frame. In addition, noise and shadow removal steps are also were added to improve the accuracy of the object detection. The abnormal behavior analysis module extracts object information, such as centroid, silhouette, size, and trajectory. As the result of the behavior analysis function objects' behavior is configured and analyzed based on the a priori specified scenarios, such as fence climbing, abandoning objects, fainting, and loitering. In the experimental results, the proposed system was able to detect the moving object and analyze the abnormal behavior in complex environments.