• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.85-92
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• 2019

A 3D virtual character playing a role in a digital story-telling has a unique style in its appearance and motion. Because the style reflects the unique personality of the character, it is very important to preserve the style and keep its consistency. However, when the character's motion is directly controlled by a user's motion who is wearing motion sensors, the unique style can be discarded. We present a novel character motion control method that uses only a small amount of animation data created only for the character to preserve the style of the character motion. Instead of machine learning approaches requiring a large amount of training data, we suggest a search-based method, which directly searches the most similar character pose from the animation data to the current user's pose. To show the usability of our method, we conducted our experiments with a character model and its animation data created by an expert designer for a virtual reality game. To prove that our method preserves well the original motion style of the character, we compared our result with the result obtained by using general human motion capture data. In addition, to show the scalability of our method, we presented experimental results with different numbers of motion sensors.

• Journal of the Korea Computer Graphics Society
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• v.28 no.2
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• pp.29-41
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• 2022

In this paper, we introduce a novel real-time, interactive animation system which uses real-time motion inputs from a low-cost motion-sensing device Kinect. Our system generates interaction motions between the user character and the counterpart character in real-time. While the motion of the user character is generated mimicking the user's input motion, the other character's motion is decided to react to the user avatar's motion. During a pre-processing step, our system analyzes the reference motion data and generates mapping model in advance. At run-time, our system first generates initial poses of two characters and then modifies them so that it could provide plausible interacting behavior. Our experimental results show plausible interacting animations in that the user character performs a modified motion of user input and the counterpart character properly reacts against the user character. The proposed method will be useful for developing real-time interactive animation systems which provide a better immersive experience for users.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.521-529
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• 2016

This paper presents the historical development process and expressive style of motion graphics which are intended to artistic expression, and discusses the value of artistic expressions in motion graphics through the works and activities of F5 and Semi-Permanent which are the representative organization of that. Commercial use of digital motion graphics has been rapidly widespread and used in most of the picture contents by changes in the digital video production environment with the development of the computer. Motion graphics begins with a graphic design applied to the motion graphic content and is transferred from the abstract representation of the animation at the same time. Since then motion graphics have been developed as an independent genre on the basis of graphic design and animation, and take the important position for the understanding and development of the contemporary design and content industry. Moreover, the motion graphics which present the experiment of various techniques and the aspect of mixed genres contribute to the development and diversification of the visual image. This paper is covered on not only F5 and Semi-Permanent that have published experimental artistic motion graphics but also the analysis of the developed ways and expressive patters to produce experimental motion graphics of their works. Furthermore, it discusses the experimental artistic value of these works.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.8C
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• pp.788-799
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• 2007

This paper presents a watermarking method for copyright protection and illegal copy prevention of mobile 3D contents. The proposed method embeds copyright information and user's phone number into spatial domain and encryption domain of mobile animation data based on Buyer-Seller watermarking protocol. Furthermore, we insert user's operation key so that only authorized user can play 3D animation game in mobile device. We implemented the proposed method by using mobile animation tool, G3-SDK. From experimental results, we verified that the proposed method is capable of copyright protection and illegal copy prevention since the watermark can be well extracted against geometrical attacks, such as noise addition, data accuracy variableness and data up/down scaling.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.267-277
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• 2024

This paper explores the use of machine learning in game production to create goal-oriented, realistic animations for skeleton monsters. The purpose of this research is to enhance realism by implementing intelligent movements in monsters within game development. To achieve this, we designed and implemented a learning model for skeleton monsters using reinforcement learning algorithms. During the machine learning process, various reward conditions were established, including the monster's speed, direction, leg movements, and goal contact. The use of configurable joints introduced physical constraints. The experimental method validated performance through seven statistical graphs generated using machine learning methods. The results demonstrated that the developed model allows skeleton monsters to move to their target points efficiently and with natural animation. This paper has implemented a method for creating game monster animations using machine learning, which can be applied in various gaming environments in the future. The year 2024 is expected to bring expanded innovation in the gaming industry. Currently, advancements in technology such as virtual reality, AI, and cloud computing are redefining the sector, providing new experiences and various opportunities. Innovative content optimized for this period is needed to offer new gaming experiences. A high level of interaction and realism, along with the immersion and fun it induces, must be established as the foundation for the environment in which these can be implemented. Recent advancements in AI technology are significantly impacting the gaming industry. By applying many elements necessary for game development, AI can efficiently optimize the game production environment. Through this research, We demonstrate that the application of machine learning to Unity and game engines in game development can contribute to creating more dynamic and realistic game environments. To ensure that VR gaming does not end as a mere craze, we propose new methods in this study to enhance realism and immersion, thereby increasing enjoyment for continuous user engagement.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.121-124
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• 2001

In this paper, a method of generating the facial gesture CG animation on different avatar models is provided. At first, to edit emotional expressions efficiently, regeneration of the comic expression on different polygonal mesh models is carried out, where the movements of the cheeks and numerical methods. Experimental results show a possibility that the method could be used for intelligent avatar communications between Korea and Japan.

• Journal of Internet Computing and Services
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• v.4 no.2
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• pp.31-37
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• 2003

Recently, motion capture has become one of the most promising technologies in animation. Realistic motion data can be captured by recording the movement of a real actor with an optical or magnetic motion capture system. This paper deals with motion editing by a geometric mean filter. Since the captured motion has some noises that cause a jerky motion, it needs a smoothing process to make it natural. A geometric mean filter is proposed to produce natural motions without jerky motions. Experimental results show that the geometric mean filter can effectively remove noises that cause a jerky motion and it can guarantee the most natural motions among various spatial filters. This method could be applied to the various fields such as real time animation, virtual reality applications, 3D applications, and etc.

• Cartoon and Animation Studies
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• s.9
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• pp.80-93
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• 2005

This study analyzes current situation of Korean comics market, emphasizes the necessity of studying comics audience. Presenting the differentiated methodology for comics study, the alternative solution for Korean comics market is given. The theoretical foundation is based on the cultural approach for audience studies. This study aims to find out the changing environment of taking comics contents and using behavior of it. Most audience of comics make use of them in various ways and try to use them in new experimental method. To analyze the tastes and using behavior of comics audience is necessary for preplanning of comics production.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.729-736
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• 2014

Integrated multimedia education in English language education shifts instructor-orientated education to be more learner-orientated. The goal of this research is to analyze the effects of multimedia such as software, power point, flash animation and video in English language education. Experimental research with student subjects and multimedia in English education were used for this study and divided into the following categories: instructor-focused analysis, student-focused analysis, and response-based analysis. Teacher-focused analysis is comprised of prediction analysis and backward induction methods. This study aims to analyze whether multimedia tools achieves its intended effects, and to describe what sort of effects are achieved by the tools. This research intends to confirm the effectiveness and helpfulness of multimedia tools in school classrooms.

• Journal of Internet Computing and Services
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• v.5 no.2
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• pp.41-47
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• 2004

Recently, motion capture has become one of the most promising technologies in animation. Realistic motion data can be captured by recording the movement of a real actor with an optical or magnetic motion capture system. This paper deals with motion editing by a geometric mean filter. Since the captured motion has some noises that cause a jerky motion, it needs a smoothing process to make it natural. A geometric mean filter is proposed to produce natural motions without jerky motions. Experimental results show that the geometric mean filter can effectively remove noises that cause a jerky motion and it can guarantee the most natural motions among various spatial filters. This method could be applied to the various fields such as real time animation, virtual reality applications, 3D applications, and etc.