• Journal of Korea Multimedia Society
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• v.12 no.12
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• pp.1736-1744
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• 2009

In this paper, we present an animation sketching system using a two layered approach. Animation sketching is a popular technique to create informal animations but it is often suffered by the low-quality output due to a trade-off between convenience and complexity. Our aim is to support sketching practical animation scenes easily and fast while not complicating the simple sketching interface. The key idea is to combine two conceptual stop motion layers, a whiteboard and cutout animation layer, in a seamless interface. As a background, the whiteboard animation layer handles stroke-oriented objects, while the cutout animation layer takes charge of transform-oriented objects. We found that this approach enables users to express more complicated animation fast while still maintaining a concise sketching interface. We demonstrate the usability and flexibility through resulting animations from user experiments.

• Journal of Broadcast Engineering
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• v.19 no.5
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• pp.736-745
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• 2014

In this paper we introduce augmented broadcasting service scenarios which combines augmented reality service with broadcasting environment. As the broadcasting environment is different from mobile service environment, there are many restrictions in developing full AR services in TV. However TV has strong benefit of large screen, high quality contents, advanced user interface for motion and voice, and smart TV applications, which means that they will enhance the possibility of success for augmented broadcasting service. This paper proposes metadata structure containing information for augmentation region, time, augmented contents, and registration information for natural composition. We also implemented test bed system comprised of authoring server, broadcasting server, and user terminal for verifying metadata in broadcasting system.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.3
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• pp.322-331
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• 2003

As the complexity of a 3D game is increased by various factors of the game scenario, it has a problem for controlling the interrelation of the game objects. Therefore, a game system has a necessity of the coordination of the responses of the game objects. Also, it is necessary to control the behaviors of animations of the game objects in terms of the game scenario. To produce realistic game simulations, a system has to include a structure for designing the interactions among the game objects. This paper presents a method that designs the dynamic control mechanism for the interaction of the game objects in the game scenario. For the method, we suggest a game agent system as a framework that is based on intelligent agents who can make decisions using specific rules. Game agent systems are used in order to manage environment data, to simulate the game objects, to control interactions among game objects, and to support visual authoring interface that ran define a various interrelations of the game objects. These techniques can process the autonomy level of the game objects and the associated collision avoidance method, etc. Also, it is possible to make the coherent decision-making ability of the game objects about a change of the scene. In this paper, the rule-based behavior control was designed to guide the simulation of the game objects. The rules are pre-defined by the user using visual interface for designing their interaction. The Agent State Decision Network, which is composed of the visual elements, is able to pass the information and infers the current state of the game objects. All of such methods can monitor and check a variation of motion state between game objects in real time. Finally, we present a validation of the control method together with a simple case-study example. In this paper, we design and implement the supervised classification systems for high resolution satellite images. The systems support various interfaces and statistical data of training samples so that we can select the most effective training data. In addition, the efficient extension of new classification algorithms and satellite image formats are applied easily through the modularized systems. The classifiers are considered the characteristics of spectral bands from the selected training data. They provide various supervised classification algorithms which include Parallelepiped, Minimum distance, Mahalanobis distance, Maximum likelihood and Fuzzy theory. We used IKONOS images for the input and verified the systems for the classification of high resolution satellite images.