• Title/Summary/Keyword: Game Image

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A study of creating character which has the image of ideal human body (이상적 몸의 이미지를 갖춘 캐릭터의 창작 연구)

  • Kim, Boo-Ja
    • Journal of Korea Game Society
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    • v.3 no.2
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    • pp.86-92
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    • 2003
  • Today, the visual description of body is viewed in various categories, and the circumstance of computers is regarded as new type of communication beyond the circumstance of individual body. In cyber space, when existence and role of character in computer game constitute communication, the ideal body description of each character depicts dramatic beauty, which rises above reality. On this thesis, analyzing the body description and transition on visual in, I grope for a method to utilize in creating game character which is modeled from ideal human being. Although the progress of producing character has already come to limit, concluding that we have to create character model which has marked individuality and beauty by adding modem and future analysis to the golden ratio, which has established since ancient Greece, this paper suggests the method of creating character which has the image of ideal human body.

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On Enhancing the Image Quality of Dynamical X3D Contents in the Interne

  • Ha, Jong-Sung;Yoo, Kwan-Hee
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2007.02a
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    • pp.53-57
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    • 2007
  • This paper presents the practice of multitexturing in the Internet for enhancing the image quality of 3D contents, where the attributes of objects such as textures are dynamically changed. We explain the empirical results of realizing the X3D nodes related with multitexturing in the recent X3D viewers, and discuss the directions for upgrading X3D viewers that satisfy the user requirements and the advanced graphics accelerators.

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Seamless Image Blending based on Multiple TIP models (다수 시점의 TIP 영상기반렌더링)

  • Roh, Chang-Hyun
    • Journal of Korea Game Society
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    • v.3 no.2
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    • pp.30-34
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    • 2003
  • Image-based rendering is an approach to generate realistic images in real-time without modeling explicit 3D geometry, Especially, TIP(Tour Into the Picture) is preferred for its simplicity in constructing 3D background scene. However, TP has a limitation that a viewpoint cannot go far from the origin of the TIP for the lack of geometrical information. in this paper, we propose a method to interpolating the TIP images to generate smooth and realistic navigation. We construct multiple TIP models in a wide area of the virtual environment. Then we interpolate foreground objects and background object respectively to generate smooth navigation results.

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A Study of Motion Graphics Effects in Moving for Video Game Contents Projection (비디오 게임 콘텐츠 제작을 위한 모션그래픽 움직임 효과에 관한 연구)

  • Ju, Heon-Sik
    • 한국게임학회지
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    • v.9 no.1
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    • pp.15-23
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    • 2012
  • In this paper, studied about an effect in motion graphics to make video game contents projects. Using the motion graphics to make video game contents projects was applied with various effects. The effects in motion graphics is divided in two ways that moving effects and a motion image effects. The various effects of motion graphics extremely increases the effects of the video game contents projects. The various effects in the motion graphics, expects to be applied in the video game that can be more developed creative in video arts.

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Mobile Game Control using Gesture Recognition (제스처 인식을 활용한 모바일 게임 제어)

  • Lee, Yong-Cheol;Oh, Chi-Min;Lee, Chil-Woo
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.629-638
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    • 2011
  • Mobile game have an advantage of mobility, portability, and simple interface. These advantages are useful for gesture recognition based game which should not have much content quantity and complex interface. This paper suggests gesture recognition based mobile game content with user movement could be applied directly to the mobile game wherever recognition system is equipped. Gesture is recognized by obtaining user area in image from the depth image of TOF camera and going through SVM(Support Vectorn Machine) using EOH(Edge Of Histogram) features of user area. And we confirmed that gesture recognition can be utilized to user input of mobile game content. Proposed technique can be applied to a variety of content, but this paper shows a simple way of game contents which is consisted of moving and jumping newly.

The Analysis on Brand Marketing Strategy of Mobie Game (<펜타스톰> 모바일 게임의 브랜드 마케팅 전략 분석)

  • Bo, Ding Zhi;Song, Seung-keun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.194-196
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    • 2017
  • is a MOBA game developed by 2015 at the Tentent's Tianmei Studios. The operation of the game was very successful, ranking first in the global mobile gaming revenue list in May 2017. However, most of the discussion about this game are the moral critique of game addiction. In fact, a game's success is closely related to the Marketing strategy beyond the contents of the game. This research using a neutral point of view to see the communication modes of during the early, development and outbreak period, analyze the integrated marketing communication strategy (IMC) through the method of case study, and concluded that the key to the success of IMC is the flexible use of various communication methods to achieve a three-dimensional offensive according to the famous Synergy Theory. It is also hoped that this article will be helpful for practitioners to realize the importance of Publicity and promotion of other game products.

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The Online Game World as a Product and the Behavioral Characteristics of Online Game Consumers as Role Player (상품으로서의 온라인 게임 세계와 역할 놀이자로서의 온라인 게임 소비자의 행동특성)

  • 황상민;김지연;임정화
    • Science of Emotion and Sensibility
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    • v.7 no.3
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    • pp.37-50
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    • 2004
  • This study attempted to explore how online game is endowed new meaning and function and changed into totally different product in result by recognition and consuming behavior(game activity) of game users. The subjects of this study are famous Internet based online games called 'Lineage' and 'EverQuest'. These two online games are physically similar games. Both are MMORPG and community-based games. While Lineage became a cyber world as a part of the real world, EverQuest was a game product. This study explored the recognition of garners about game world and different consuming behavior pattern(game activity pattern) in game world made by different recognition of online game. The result from exploring the differences in the recognition of game world showed Lineage garners regarded Lineage world as another living space or a part of real world they can explore and express psychological need and self-identity or self-image and live through diverse activities. But EverQuest garners regarded EverQuest as a product for experience of fantasy world. The result from comparing the game consuming behaviors showed that different recognition of game world made the differences in the game consuming behavior. The results of the present study supported that the recognition of consumers about digital images or content poducts like online game can be different by the value and experience of consumer, and the different recognition make the different consuming behavior of similar or same products. The results supported that the meaning and value of digital images or digital content are endowed by consumers.

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Recognition of Go Game Positions using Obstacle Analysis and Background Update (방해물 분석 및 배경 영상 갱신을 이용한 바둑 기보 기록)

  • Kim, Min-Seong;Yoon, Yeo-Kyung;Rhee, Kwang-Jin;Lee, Yun-Gu
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.724-733
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    • 2017
  • Conventional methods of automatically recording Go game positions do not properly consider obstacles (hand or object) on a Go board during the Go game. If the Go board is blocked by obstacles, the position of a Go stone may not be correctly recognized, or the sequences of moves may be stored differently from the actual one. In the proposed algorithm, only the complete Go board image without obstacles is stored as a background image and the obstacle is recognized by comparing the background image with the current input image. To eliminate the phenomenon that the shadow is mistaken as obstacles, this paper proposes the new obstacle detection method based on the gradient image instead of the simple differential image. When there is no obstacle on the Go board, the background image is updated. Finally, the successive background images are compared to recognize the position and type of the Go stone. Experimental results show that the proposed algorithm has more than 95% recognition rate in general illumination environment.

Using Image Visualization Based Malware Detection Techniques for Customer Churn Prediction in Online Games (악성코드의 이미지 시각화 탐지 기법을 적용한 온라인 게임상에서의 이탈 유저 탐지 모델)

  • Yim, Ha-bin;Kim, Huy-kang;Kim, Seung-joo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.6
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    • pp.1431-1439
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    • 2017
  • In the security field, log analysis is important to detect malware or abnormal behavior. Recently, image visualization techniques for malware dectection becomes to a major part of security. These techniques can also be used in online games. Users can leave a game when they felt bad experience from game bot, automatic hunting programs, malicious code, etc. This churning can damage online game's profit and longevity of service if game operators cannot detect this kind of events in time. In this paper, we propose a new technique of PNG image conversion based churn prediction to improve the efficiency of data analysis for the first. By using this log compression technique, we can reduce the size of log files by 52,849 times smaller and increase the analysis speed without features analysis. Second, we apply data mining technique to predict user's churn with a real dataset from Blade & Soul developed by NCSoft. As a result, we can identify potential churners with a high accuracy of 97%.

Garbage Dumping Detection System using Articular Point Deep Learning (관절점 딥러닝을 이용한 쓰레기 무단 투기 적발 시스템)

  • MIN, Hye Won;LEE, Hyoung Gu
    • Journal of Korea Multimedia Society
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    • v.24 no.11
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    • pp.1508-1517
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    • 2021
  • In CCTV environments, a lot of learning image data is required to monitor illegal dumping of garbage with a typical image-based object detection using deep learning method. In this paper, we propose a system to monitor unauthorized dumping of garbage by learning the articular points of the person using only a small number of images without immediate use of the image for deep learning. In experiment, the proposed system showed 74.97% of garbage dumping detection performance with only a relatively small amount of image data in CCTV environments.