Tennis Real Play (TRP) is an interactive tennis game system constructed with models extracted from videos of real matches. The key techniques proposed for TRP include player modeling and video-based player/court rendering. For player model creation, we propose the process for database normalization and the behavioral transition model of tennis players, which might be a good alternative for motion capture in the conventional video games. For player/court rendering, we propose the framework for rendering vivid game characters and providing the real-time ability. We can say that image-based rendering leads to a more interactive and realistic rendering. Experiments show that video games with vivid viewing effects and characteristic players can be generated from match videos without much user intervention. Because the player model can adequately record the ability and condition of a player in the real world, it can then be used to roughly predict the results of real tennis matches in the next days. The results of a user study reveal that subjects like the increased interaction, immersive experience, and enjoyment from playing TRP.

Image-based rendering (IBR) is a technique to render the video from images, and it provides users to have more interaction and immersive experience in watching a video. In this paper, we integrate the computation of several IBR applications, analyze the bandwidth of memory access, and design an architecture to process the computation of IBR. Experimental results show that the proposed IBR Engine is able to render a video with resolution 720×480 and 30 frames per second, which is 12.7 times faster than a Core2Due 2.83 GHz CPU. For the extensions, IBR Engine can be embedded in the television system and lets viewers enjoy the functions from IBR.

Tennis Real Play (TRP) is an interactive tennis game system constructed with models extracted from videos of real matches. The key techniques proposed for TRP include player modeling and video-based player/court rendering. For player model creation, we propose a database normalization process and a behavioral transition model of tennis players, which might be a good alternative for motion capture in the conventional video games. For player/court rendering, we propose a framework for rendering vivid game characters and providing the real-time ability. We can say that image-based rendering leads to a more interactive and realistic rendering. Experiments show that video games with vivid viewing effects and characteristic players can be generated from match videos without much user intervention. Because the player model can adequately record the ability and condition of a player in the real world, it can then be used to roughly predict the results of real tennis matches in the next days. The results of a user study reveal that subjects like the increased interaction, immersive experience, and enjoyment from playing TRP.

A lane-departure detection system without intrinsic and extrinsic camera parameters calibration is proposed in this paper. The proposed system, which provides driving safety by lane detection and lane departure warning, is focused on urban road with complicated lane marks instead of simple highway scenes. Due to the complexity of urban traffic scenes, false lane detections are highly caused by warning lines and signs whose shape and color are similar to the lane boundary. In this study, two lane features, lane width and lane boundary continuity, are proposed to obtain reliable and quality lane detected results on urban traffic scenes. Lane departure warning decisions are then applied to provide driving safety. Experimental results of urban road sceneries have demonstrated feasibility and robustness of the proposed method.

Image-based rendering has been highly developed for its wide applications such as view synthesis and special effects in movies. In this paper, we proposed a tennis player rendering system synthesizing diverse player action/motion based on extracted database from broadcasting game videos. The system gathers database by retrieving the player from videos and synthesizes various kinds of player action/motion according to the user's instructions. The results show that the proposed rendering system can render smooth action/motion transition with satisfactory visual effect. For further applications, the proposed system can be used in interactive tennis games with image textures.