• 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.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.1-9
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• 2010

Authoring tools for sketching the motion of characters to be animated have been studied. However the natural interface for sound editing has not been sufficiently studied. In this paper, I present a novel method that sound sample is selected by speaking sound-imitation words(onomatopoeia). Experiment with the method based on statistical models, which is generally used for pattern recognition, showed up to 97% in the accuracy of recognition. In addition, to address the difficulty of data collection for newly enrolled sound samples, the GLR Test based on only one sample of each sound-imitation word showed almost the same accuracy as the previous method.

• Journal of the Korea Computer Graphics Society
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• v.19 no.2
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• pp.1-8
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• 2013

Captured human motion data has been widely utilized for understanding the mechanism of human motion and synthesizing the animation of virtual characters. Searching for desired motions from given motion data is an important prerequisite of analyzing and editing those selected motions. This paper presents a new method of content-based motion retrieval without the need of additional metadata such as keywords. While existing search methods have focused on skeletal configurations of body pose or planar trajectories of locomotion, our method receives a three-dimensional trajectory as its input query and retrieves a set of motion intervals in which the trajectories of body parts such as hands, foods, and pelvis are similar to the input trajectory. In order to allow the user to intuitively sketch spatial trajectories, we used the Leap Motion controller that can precisely trace finger movements as the input device for our experiments. We have evaluated the effectiveness of our approach by conducting a user study in which the users search for dozens of pre-selected motions from baseketball motion data including a variety of moves such as dribbling and shooting.