Agata Opalach

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We introduce a new paradigm for real-time conversion of a real world event into a rich multimedia database by processing data from multiple sensors observing the event. Real-time analysis of the sensor data, tightly coupled with domain knowledge, results in instant indexing of multimedia data at capture time. This yields semantic information to answer(More)
This paper presents a real-time computer vision system that tracks the motion of a tennis ball in 3D using multiple cameras. Ball tracking enables virtual replays, new game statistics, and other visualizations which result in very new ways of experiencing and analyzing tennis matches. The system has been used in international television broadcasts and(More)
Remote experience of sporting events has thus far been limited mostly to watching video and the scores and statistics associated with the sport. However, a fast-developing trend is the use of visualization techniques to give new insights into performance, style, and strategy of the players. Automated techniques can extract accurate information from video(More)
With the widespread availability of multimedia sensors, increased computational power, and bandwidth, a new paradigm is emerging – converting real world events into multimedia experiences. We have developed a system called LucentVision based on this paradigm and have used the system to capture and broadcast more than 200 international tennis matches on(More)
Implicit surfaces are well suited to modelling organic forms that consist of an internal skeleton and deformable flesh smoothly blended around it. An implicit surface can represent such an object’s geometric “skin” that deforms according to the motion of the skeleton. We propose a new, simple and efficient method for calculating local deformations to be(More)
As multiple video cameras and other sensors generate very large quantities of multimedia data in media productions and surveillance applications, a key challenge is to identify the relevant portions of the data and to rapidly retrieve the corresponding sensor data. Spatio-temporal activity maps serve as an efficient and intuitive graphical user interface(More)