• Journal of Korean Institute of Industrial Engineers
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• v.42 no.3
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• pp.222-230
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• 2016

As the global game market has been more competitive, it has been important to analyze success factors of game products. In this paper, we applied a Bass Diffusion Model and Clustering Analysis to identify the success factors of games based on data from Steam, an international game platform. By using a diffusion model, we first categorize game products into two groups : successful and unsuccessful games. Then, each group has been analyzed by using clustering analysis based on product features such as genres, price, and minimum system requirements. As a result, success factors of a game have been identified. The result shows that customers in game industry appreciate sophisticated contents. Unlike many other industries, price is not considered as a key success factor in the game industry. Expecially, advanced independent video games (commonly referred to as indie games) with killer contents show competitiveness in the market.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.5
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• pp.306-312
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• 2014

The arcade gun has been a popular game controller in the video game market from the 1970s. The arcade gun, which is used partially in game centers and domestic games, recently is utilized as the interface for the interactive system and tangible media. On the other hand, the existing arcade gun has limits on hardware so it is unsuitable for wide screens. In addition, being platform-dependent, it is inapplicable to various types of content as a single module. This study suggests a correction algorithm that establishes an arcade gun system based on an infrared camera to solve those drawbacks and apply to possibly numerous surroundings.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.60-63
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• 2008

The sony Eytoy is developed on Playstation 2 using webcam for detecting human. A user see his appearance in television and become real gamer in the game. It is very different interface compared with ordinary video game which uses joystick. Although Eyetoy already was made for commercial products but the interface method still is interesting and can be added with many techniques like gesture recognition. In this paper, we have developed game interface with image processing for human hand and face detection and with game graphic module. And we realize one example game for busting balloons and demonstrated the game interface abilities. We will open this project for other developers and will be developed very much.

• Journal of Korea Multimedia Society
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• v.12 no.6
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• pp.785-793
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• 2009

This paper proposes a signature using dominant singular values for video sequence matching. By considering the input image as matrix A, a partition procedure is first performed to separate the matrix into non-overlapping sub-images of a fixed size. The SVD(Singular Value Decomposition) process decomposes matrix A into a singular value-singular vector factorization. As a result, singular values are obtained for each sub-image, then k dominant singular values which are sufficient to discriminate between different images and are robust to image size variation, are chosen and normalized as the signature for each block in an image frame for matching between the reference video clip and the query one. Experimental results show that the proposed video signature has a better performance than ordinal signature in ROC curve.

• Proceedings of the IEEK Conference
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• summer
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• pp.119-121
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• 2004

Video event detection has become an essential application in multimedia computing. For sports video, salient events are usually detected by analyzing video sequence by specific decision rules. However in many kinds of sports video (e.g. soccer), the game contains continuous actions, in which the boundaries of shots, scenes are uncertain. So the conventional analyzing methods using crisp decisions are not efficient. Fuzzy logic is a natural approach that can tackle this problem. In this paper, we present a new approach using fuzzy technique for event detection in soccer video. The experiment shows encouraging results for this method

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.6
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• pp.1175-1181
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• 2004

This paper proposes a system to analyze and summarize the video shots of baseball game TV program into fifteen categories. Our System consists of three modules: feature extraction, Hidden Markov Model (HMM) training, and video shot categorization. Video Shots belongs to the same class are not necessarily similar, so we require that the training set is large enough to include video shot with all possible variations to create a robust Hidden Markov Model. In the experiments, we have illustrated that our system can recognize the 15 different shot classes with a success ratio of 84.72%.

• Journal of Korea Multimedia Society
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• v.25 no.1
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• pp.103-113
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• 2022

Based on the information framework and regulatory focus theory, this paper verifies the impact on the advertising effect when the matching effect forms between the video advertising content type (Information Type, Entertainment Type) and the information framework (Promotional, Prevention) and the regulatory focus (Promotion Orientation, Prevention Orientation) in social media. In order to verify, after selecting of the experimental subjects and finishing the prior investigation of the experimental operation, four video advertisements and formal experiments were performed. The experimental results showed that first, the content type affects the advertising effect of the video and the information framework; when the information video matches the preventive information framework, it will have a more obvious positive effect on the advertising effect; when the entertainment video matches the promotion information framework, it will have a more obvious positive effect on the advertising effect. Second, with the two matches of video content type and information framework, the entertainment-oriented video has a more obvious positive effect for the information-oriented video audience; the above results enrich user created content research and improve the quality and communication efficiency of video in social media.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.375-388
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• 2008

The early studies on the cultural industries had mainly emphasized the viewpoint of "efficiency" based on the "flexible specialization" theory, but they have gradually shed light on the viewpoint of "creativity": creative human resources and various networks generating creative energies. Despite the importance of these studies, it is impossible to explain every cultural industrial agglomeration phenomena from specific and few viewpoints due to the diversity of each cultural industry. This study describes the dissimilarity of agglomeration factors between the Japanese animation and home video game industries which form salient agglomeration in the same region. Both industries share similar characteristics with industrial agglomeration of SMEs in Tokyo and close inter-firm relationships. However, they differ in their historical development paths and each firm's behavior and strategy because of their own distribution systems and production processes. In particular, the difference in distribution systems clearly affects whether a company values "efficiency" factors of agglomeration advantage or "creativity" factors of that in case of locational choice. The distribution sector of the cultural industry, compared with the production sector, has a tendency to value profitability rather than creation itself. Therefore, a cultural industry with the strong distribution sector tends to form the industrial system emphasizing profitability. The Japanese animation firm is apt to choose its location from the perspective of efficiency, which easily contributes to profitability, because television broadcasting stations are strong distribution sector. Conversely, the Japanese game firm chooses its location from the perspective of creativity due to the absence of strong distribution sector.

• Journal of Korea Multimedia Society
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• v.14 no.7
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• pp.849-857
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• 2011

Gaming on demand(GOD) makes people enjoy games by encoding and transmitting game screen at a server side, and decoding the video at a client side. In this paper, we propose a fast game video encoder for multiple users over network with low-powered devices. In the proposed system, the computational complexity of game encoders is reduced by using scene descriptors, which consists of an object motion vector, global motion, and scene change. With additional information from game engines, the proposed encoder does not need to perform various complexity processes such as motion estimation and ratedistortion optimization. The motion estimation and rate-distortion optimization skipped by scene descriptors. We found that the proposed method improved 192 % in terms of FPS, compared with x264 software. With partial assembly code, we also improved coding speed by 86 % in terms of FPS. We found that the proposed fast encoder could encode over 60 FPS for real-time GOD applications.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.19-28
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• 2017

There exist a variety of VR(Virtual Reality) contents that have been developed by the use of the latest VR technologies. Unlike the rapid advances in the recent VR devices however, the development of VR based game contents that fully utilize such cutting-edge devices has been lackluster. Using more accessible form of smartphone-based HMDs(Head-Mounted Displays), we compare two popular VR presentation methods(a realistic 3D VR karaoke room and a 360 degree video karaoke room) and analyze their users' immersion and realistic perception. We expect that our study can be utilized as a supporting guideline for future smartphone-based VR content developments.